Patient-rated scales improve the classification accuracy for patients with depression and anxiety disorder: a linear discriminant analysis
Background The current study aimed to investigate the performances of clinical scales rated by clinicians and patients as well as cognitive function tests in distinguishing patients with affective and anxiety disorders from healthy controls (HCs). Methods We recruited a total of 122 subjects, compri...
Saved in:
| Published in | BMC psychiatry Vol. 24; no. 1; pp. 785 - 10 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
BioMed Central
11.11.2024
BioMed Central Ltd BMC |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1471-244X 1471-244X |
| DOI | 10.1186/s12888-024-06237-6 |
Cover
| Abstract | Background
The current study aimed to investigate the performances of clinical scales rated by clinicians and patients as well as cognitive function tests in distinguishing patients with affective and anxiety disorders from healthy controls (HCs).
Methods
We recruited a total of 122 subjects, comprising 24 patients with bipolar disorder (BD), 34 patients with major depressive disorder (MDD), 29 patients with anxiety disorder (AD), and 35 matched HCs. Three clinician-rated scales and five patient-rated scales were used to quantify clinical symptoms, while four cognitive tests were employed to measure cognitive functions in all subjects. Fisher’s discriminant analysis (FDA) was employed to distinguish patients from HCs, as well as to discriminate patient sub-groups from each other. In the FDA model, the prior probability of each group was set as 0.5 in the two-group classification and 0.25 in the four-group classification.
Results
The results showed that patient-rated scales achieved higher classification accuracies than clinician-rated scales in identifying MDD and AD from HCs. In contrast, cognitive tests exhibited the lowest accuracy.
Conclusions
These findings suggest that patient-rated scales might improve the classification accuracy for patients with MDD and AD. |
|---|---|
| AbstractList | Background The current study aimed to investigate the performances of clinical scales rated by clinicians and patients as well as cognitive function tests in distinguishing patients with affective and anxiety disorders from healthy controls (HCs). Methods We recruited a total of 122 subjects, comprising 24 patients with bipolar disorder (BD), 34 patients with major depressive disorder (MDD), 29 patients with anxiety disorder (AD), and 35 matched HCs. Three clinician-rated scales and five patient-rated scales were used to quantify clinical symptoms, while four cognitive tests were employed to measure cognitive functions in all subjects. Fisher's discriminant analysis (FDA) was employed to distinguish patients from HCs, as well as to discriminate patient sub-groups from each other. In the FDA model, the prior probability of each group was set as 0.5 in the two-group classification and 0.25 in the four-group classification. Results The results showed that patient-rated scales achieved higher classification accuracies than clinician-rated scales in identifying MDD and AD from HCs. In contrast, cognitive tests exhibited the lowest accuracy. Conclusions These findings suggest that patient-rated scales might improve the classification accuracy for patients with MDD and AD. Keywords: Clinician-rated scales, Patient-rated scales, Cognition, Cross-validation, Classification, Discrimination The current study aimed to investigate the performances of clinical scales rated by clinicians and patients as well as cognitive function tests in distinguishing patients with affective and anxiety disorders from healthy controls (HCs).BACKGROUNDThe current study aimed to investigate the performances of clinical scales rated by clinicians and patients as well as cognitive function tests in distinguishing patients with affective and anxiety disorders from healthy controls (HCs).We recruited a total of 122 subjects, comprising 24 patients with bipolar disorder (BD), 34 patients with major depressive disorder (MDD), 29 patients with anxiety disorder (AD), and 35 matched HCs. Three clinician-rated scales and five patient-rated scales were used to quantify clinical symptoms, while four cognitive tests were employed to measure cognitive functions in all subjects. Fisher's discriminant analysis (FDA) was employed to distinguish patients from HCs, as well as to discriminate patient sub-groups from each other. In the FDA model, the prior probability of each group was set as 0.5 in the two-group classification and 0.25 in the four-group classification.METHODSWe recruited a total of 122 subjects, comprising 24 patients with bipolar disorder (BD), 34 patients with major depressive disorder (MDD), 29 patients with anxiety disorder (AD), and 35 matched HCs. Three clinician-rated scales and five patient-rated scales were used to quantify clinical symptoms, while four cognitive tests were employed to measure cognitive functions in all subjects. Fisher's discriminant analysis (FDA) was employed to distinguish patients from HCs, as well as to discriminate patient sub-groups from each other. In the FDA model, the prior probability of each group was set as 0.5 in the two-group classification and 0.25 in the four-group classification.The results showed that patient-rated scales achieved higher classification accuracies than clinician-rated scales in identifying MDD and AD from HCs. In contrast, cognitive tests exhibited the lowest accuracy.RESULTSThe results showed that patient-rated scales achieved higher classification accuracies than clinician-rated scales in identifying MDD and AD from HCs. In contrast, cognitive tests exhibited the lowest accuracy.These findings suggest that patient-rated scales might improve the classification accuracy for patients with MDD and AD.CONCLUSIONSThese findings suggest that patient-rated scales might improve the classification accuracy for patients with MDD and AD. The current study aimed to investigate the performances of clinical scales rated by clinicians and patients as well as cognitive function tests in distinguishing patients with affective and anxiety disorders from healthy controls (HCs). We recruited a total of 122 subjects, comprising 24 patients with bipolar disorder (BD), 34 patients with major depressive disorder (MDD), 29 patients with anxiety disorder (AD), and 35 matched HCs. Three clinician-rated scales and five patient-rated scales were used to quantify clinical symptoms, while four cognitive tests were employed to measure cognitive functions in all subjects. Fisher's discriminant analysis (FDA) was employed to distinguish patients from HCs, as well as to discriminate patient sub-groups from each other. In the FDA model, the prior probability of each group was set as 0.5 in the two-group classification and 0.25 in the four-group classification. The results showed that patient-rated scales achieved higher classification accuracies than clinician-rated scales in identifying MDD and AD from HCs. In contrast, cognitive tests exhibited the lowest accuracy. These findings suggest that patient-rated scales might improve the classification accuracy for patients with MDD and AD. Background The current study aimed to investigate the performances of clinical scales rated by clinicians and patients as well as cognitive function tests in distinguishing patients with affective and anxiety disorders from healthy controls (HCs). Methods We recruited a total of 122 subjects, comprising 24 patients with bipolar disorder (BD), 34 patients with major depressive disorder (MDD), 29 patients with anxiety disorder (AD), and 35 matched HCs. Three clinician-rated scales and five patient-rated scales were used to quantify clinical symptoms, while four cognitive tests were employed to measure cognitive functions in all subjects. Fisher’s discriminant analysis (FDA) was employed to distinguish patients from HCs, as well as to discriminate patient sub-groups from each other. In the FDA model, the prior probability of each group was set as 0.5 in the two-group classification and 0.25 in the four-group classification. Results The results showed that patient-rated scales achieved higher classification accuracies than clinician-rated scales in identifying MDD and AD from HCs. In contrast, cognitive tests exhibited the lowest accuracy. Conclusions These findings suggest that patient-rated scales might improve the classification accuracy for patients with MDD and AD. BackgroundThe current study aimed to investigate the performances of clinical scales rated by clinicians and patients as well as cognitive function tests in distinguishing patients with affective and anxiety disorders from healthy controls (HCs).MethodsWe recruited a total of 122 subjects, comprising 24 patients with bipolar disorder (BD), 34 patients with major depressive disorder (MDD), 29 patients with anxiety disorder (AD), and 35 matched HCs. Three clinician-rated scales and five patient-rated scales were used to quantify clinical symptoms, while four cognitive tests were employed to measure cognitive functions in all subjects. Fisher’s discriminant analysis (FDA) was employed to distinguish patients from HCs, as well as to discriminate patient sub-groups from each other. In the FDA model, the prior probability of each group was set as 0.5 in the two-group classification and 0.25 in the four-group classification.ResultsThe results showed that patient-rated scales achieved higher classification accuracies than clinician-rated scales in identifying MDD and AD from HCs. In contrast, cognitive tests exhibited the lowest accuracy.ConclusionsThese findings suggest that patient-rated scales might improve the classification accuracy for patients with MDD and AD. Abstract Background The current study aimed to investigate the performances of clinical scales rated by clinicians and patients as well as cognitive function tests in distinguishing patients with affective and anxiety disorders from healthy controls (HCs). Methods We recruited a total of 122 subjects, comprising 24 patients with bipolar disorder (BD), 34 patients with major depressive disorder (MDD), 29 patients with anxiety disorder (AD), and 35 matched HCs. Three clinician-rated scales and five patient-rated scales were used to quantify clinical symptoms, while four cognitive tests were employed to measure cognitive functions in all subjects. Fisher’s discriminant analysis (FDA) was employed to distinguish patients from HCs, as well as to discriminate patient sub-groups from each other. In the FDA model, the prior probability of each group was set as 0.5 in the two-group classification and 0.25 in the four-group classification. Results The results showed that patient-rated scales achieved higher classification accuracies than clinician-rated scales in identifying MDD and AD from HCs. In contrast, cognitive tests exhibited the lowest accuracy. Conclusions These findings suggest that patient-rated scales might improve the classification accuracy for patients with MDD and AD. The current study aimed to investigate the performances of clinical scales rated by clinicians and patients as well as cognitive function tests in distinguishing patients with affective and anxiety disorders from healthy controls (HCs). We recruited a total of 122 subjects, comprising 24 patients with bipolar disorder (BD), 34 patients with major depressive disorder (MDD), 29 patients with anxiety disorder (AD), and 35 matched HCs. Three clinician-rated scales and five patient-rated scales were used to quantify clinical symptoms, while four cognitive tests were employed to measure cognitive functions in all subjects. Fisher's discriminant analysis (FDA) was employed to distinguish patients from HCs, as well as to discriminate patient sub-groups from each other. In the FDA model, the prior probability of each group was set as 0.5 in the two-group classification and 0.25 in the four-group classification. The results showed that patient-rated scales achieved higher classification accuracies than clinician-rated scales in identifying MDD and AD from HCs. In contrast, cognitive tests exhibited the lowest accuracy. These findings suggest that patient-rated scales might improve the classification accuracy for patients with MDD and AD. |
| ArticleNumber | 785 |
| Audience | Academic |
| Author | Zhang, Jing Chen, Min Yu, Hao Ji, Shanling Zhou, Cong |
| Author_xml | – sequence: 1 givenname: Shanling surname: Ji fullname: Ji, Shanling organization: Institute of Mental Health, Jining Medical University – sequence: 2 givenname: Jing surname: Zhang fullname: Zhang, Jing organization: Department of Psychiatry, Shandong Daizhuang Hospital – sequence: 3 givenname: Cong surname: Zhou fullname: Zhou, Cong organization: Institute of Mental Health, Jining Medical University – sequence: 4 givenname: Min surname: Chen fullname: Chen, Min email: cm7697@163.com organization: Institute of Mental Health, Jining Medical University, Department of Psychiatry, Shandong Daizhuang Hospital – sequence: 5 givenname: Hao surname: Yu fullname: Yu, Hao email: yuhao@mail.jnmc.edu.cn organization: Institute of Mental Health, Jining Medical University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39529055$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9ks1u1DAUhSNURNuBF2CBLLFhk2I7ceywQVXFT6VKsACJneXYNzMeZezBzhTmFXhqbprSdhBCkZXo-jsnvtfntDgKMUBRPGf0jDHVvM6MK6VKyuuSNrySZfOoOGG1ZCWv629HD76Pi9Oc15QyqQR7UhxXreAtFeKk-PXZjB7CWCYzgiPZmgEy8ZttitdAxhUQO5icfe8tgjEQY-0uGbsnfUxkO4sz-eHHFXGwTYDsRAWH66eHcU-czzE5SG-IIYMPYNJUsslvfDBhRM4M--zz0-Jxb4YMz27fi-Lr-3dfLj6WV58-XF6cX5VWiHYsnXCmbqXl1LamViAbYQSDzvGKM1qxzrHKtq3l0Jmm5vW0DZJ3qJC0t1W1KC5nXxfNWm_xHCbtdTRe3xRiWmqTRm8H0FQ1XdMZ0VXQ1oxyZQza90I61zmHZovi7ey13XUbcBaHkcxwYHq4E_xKL-O1ZkwIoUSLDq9uHVL8voM86g0OB4bBBIi7rCu8ZClkKyWiL_9C13GXcHoTVXPeKq7YPbXEq9Q-9BF_bCdTfa6YaFTTNAKps39Q-DjYeIs56z3WDwQvHnZ61-KfKCHAZ8CmmHOC_g5hVE951XNeNeZV3-RVNyiqZlFGOCwh3bf0H9VvnQTvyA |
| Cites_doi | 10.1016/j.genhosppsych.2010.03.006 10.1002/da.22550 10.1016/j.drugalcdep.2012.03.011 10.1016/j.janxdis.2014.06.002 10.1017/S0033291718001381 10.1016/j.psychres.2018.10.061 10.1016/j.archger.2010.03.012 10.1016/j.psychres.2010.06.020 10.1177/0891988718778791 10.1016/j.psychres.2020.112859 10.1111/appy.12182 10.1016/j.jad.2019.02.043 10.1016/j.jad.2015.06.020 10.1016/j.neucom.2017.01.117 10.1016/j.psychres.2019.03.048 10.1002/da.23160 10.1080/09602011.2022.2030366 10.1136/jnnp-2013-306984 10.1016/j.psychres.2020.112788 10.1016/S2215-0366(17)30088-3 10.1016/j.psychres.2014.10.014 10.1111/bdi.13125 10.1002/da.23299 10.1186/s12888-020-02699-6 10.1046/j.1525-1497.2001.016009606.x 10.1016/S2215-0366(18)30511-X 10.1016/j.jad.2018.12.020 10.1016/S0140-6736(16)30590-6 10.1016/j.psychres.2010.06.025 10.1111/j.2044-8341.1959.tb00467.x 10.1016/j.jad.2022.09.057 10.1016/j.jad.2017.06.034 10.1016/j.psychres.2020.113026 10.1016/j.jad.2019.06.036 10.1192/bjp.133.5.429 10.1007/s11606-008-0846-z 10.1016/j.jbtep.2018.11.002 10.1016/j.psychres.2018.08.037 10.1016/j.patrec.2019.04.003 10.1002/da.21939 10.1002/da.22556 10.2190/T8EM-C8YH-373N-1UWD 10.1016/j.psychres.2019.07.005 10.1016/j.jad.2019.05.017 10.1002/onco.13746 10.1136/jnnp.23.1.56 10.1016/j.jclinepi.2007.11.008 10.1001/jama.2020.6504 10.1016/S0022-3999(02)00604-9 10.1016/j.neubiorev.2019.03.023 10.1016/S0169-7439(99)00061-1 10.1186/1471-244X-13-177 10.1016/j.psychres.2018.09.007 10.1016/j.ncl.2015.11.003 10.1016/j.psychres.2020.113232 10.1016/j.jad.2018.04.084 10.1016/j.jad.2012.02.035 10.1016/j.jad.2020.09.139 10.1109/34.598228 10.1016/j.jstrokecerebrovasdis.2021.106222 10.4088/JCP.22f14593 10.1016/j.jad.2011.11.029 10.1016/j.jns.2021.120103 10.1016/j.jpsychores.2013.03.093 10.1111/j.1399-5618.2010.00840.x |
| ContentType | Journal Article |
| Copyright | The Author(s) 2024 2024. The Author(s). COPYRIGHT 2024 BioMed Central Ltd. 2024. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Author(s) 2024 2024 |
| Copyright_xml | – notice: The Author(s) 2024 – notice: 2024. The Author(s). – notice: COPYRIGHT 2024 BioMed Central Ltd. – notice: 2024. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: The Author(s) 2024 2024 |
| DBID | C6C AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7TK 7X7 7XB 88E 88G 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH GNUQQ K9. M0S M1P M2M PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQQKQ PQUKI PRINS PSYQQ Q9U 7X8 5PM DOA |
| DOI | 10.1186/s12888-024-06237-6 |
| DatabaseName | SpringerOpen Free (Free internet resource, activated by CARLI) CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Neurosciences Abstracts Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) Psychology Database (Alumni) Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central ProQuest Central UK/Ireland ProQuest Central Essentials - QC ProQuest Central ProQuest One Community College ProQuest Central Proquest Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student ProQuest Health & Medical Complete (Alumni) ProQuest Health & Medical Collection Medical Database Psychology Database ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest One Psychology ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest One Psychology ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Central China ProQuest Central ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Health & Medical Research Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Central Basic ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Psychology Journals (Alumni) Neurosciences Abstracts ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest Psychology Journals ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic Publicly Available Content Database MEDLINE |
| Database_xml | – sequence: 1 dbid: C6C name: Springer Nature OA Free Journals url: http://www.springeropen.com/ sourceTypes: Publisher – sequence: 2 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 3 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 4 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 5 dbid: BENPR name: ProQuest Central url: http://www.proquest.com/pqcentral?accountid=15518 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 1471-244X |
| EndPage | 10 |
| ExternalDocumentID | oai_doaj_org_article_086b6ba5b3e941028aabd1f57ddbddfc PMC11555859 A815686665 39529055 10_1186_s12888_024_06237_6 |
| Genre | Journal Article |
| GeographicLocations | China |
| GeographicLocations_xml | – name: China |
| GrantInformation_xml | – fundername: National Natural Science Foundation of China grantid: 81901358 – fundername: Natural Science Foundation of Shandong Province grantid: ZR2019BH001 – fundername: Young Taishan Scholars of Shandong Province grantid: tsqn201909146 – fundername: Key research and development program of Jining City grantid: 2021YXNS087 |
| GroupedDBID | --- 0R~ 23N 2WC 53G 5VS 6J9 7X7 88E 8FI 8FJ AAFWJ AAJSJ AASML ABDBF ABIVO ABUWG ACGFO ACGFS ACIHN ACPRK ACUHS ADBBV ADRAZ ADUKV AEAQA AENEX AFKRA AFPKN AHBYD AHMBA AHYZX ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIJS AZQEC BAPOH BAWUL BCNDV BENPR BFQNJ BMC BPHCQ BVXVI C6C CCPQU CS3 DIK DWQXO E3Z EAD EAP EAS EBD EBLON EBS EMB EMK EMOBN ESX F5P FYUFA GNUQQ GROUPED_DOAJ GX1 HMCUK HYE IAO IHR INH INR IPY ITC KQ8 M1P M2M M48 M~E O5R O5S OK1 OVT P2P PGMZT PHGZM PHGZT PIMPY PJZUB PPXIY PQQKQ PROAC PSQYO PSYQQ PUEGO RBZ RNS ROL RPM RSV SMD SOJ SV3 TR2 TUS UKHRP W2D WOQ WOW XSB AAYXX ALIPV CITATION -A0 3V. ACRMQ ADINQ C24 CGR CUY CVF ECM EIF NPM PMFND 7TK 7XB 8FK K9. PKEHL PQEST PQUKI PRINS Q9U 7X8 5PM |
| ID | FETCH-LOGICAL-c559t-d5da497c20c9a48e765a51ebd2321031bd13c99c2eba642465a5e72b7c270fc33 |
| IEDL.DBID | M48 |
| ISSN | 1471-244X |
| IngestDate | Wed Aug 27 00:36:22 EDT 2025 Thu Aug 21 18:30:27 EDT 2025 Thu Sep 04 17:35:56 EDT 2025 Fri Jul 25 23:21:36 EDT 2025 Tue Jun 17 22:02:00 EDT 2025 Tue Jun 10 21:02:38 EDT 2025 Wed Feb 19 02:02:40 EST 2025 Tue Jul 01 00:26:36 EDT 2025 Sat Sep 06 07:21:59 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Keywords | Clinician-rated scales Cognition Discrimination Patient-rated scales Cross-validation Classification |
| Language | English |
| License | 2024. The Author(s). Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c559t-d5da497c20c9a48e765a51ebd2321031bd13c99c2eba642465a5e72b7c270fc33 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.1186/s12888-024-06237-6 |
| PMID | 39529055 |
| PQID | 3142298281 |
| PQPubID | 44775 |
| PageCount | 10 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_086b6ba5b3e941028aabd1f57ddbddfc pubmedcentral_primary_oai_pubmedcentral_nih_gov_11555859 proquest_miscellaneous_3128757977 proquest_journals_3142298281 gale_infotracmisc_A815686665 gale_infotracacademiconefile_A815686665 pubmed_primary_39529055 crossref_primary_10_1186_s12888_024_06237_6 springer_journals_10_1186_s12888_024_06237_6 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2024-11-11 |
| PublicationDateYYYYMMDD | 2024-11-11 |
| PublicationDate_xml | – month: 11 year: 2024 text: 2024-11-11 day: 11 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England |
| PublicationTitle | BMC psychiatry |
| PublicationTitleAbbrev | BMC Psychiatry |
| PublicationTitleAlternate | BMC Psychiatry |
| PublicationYear | 2024 |
| Publisher | BioMed Central BioMed Central Ltd BMC |
| Publisher_xml | – name: BioMed Central – name: BioMed Central Ltd – name: BMC |
| References | L Fang (6237_CR59) 2019; 63 RCBJ Young (6237_CR6) 1978; 133 CR Soldatos (6237_CR31) 2003; 55 WL Zijlema (6237_CR29) 2013; 74 Y Huang (6237_CR3) 2019; 6 PO Monahan (6237_CR51) 2008; 24 DM Winter (6237_CR69) 2018; 270 E von Elm (6237_CR32) 2008; 61 M McCrory (6237_CR19) 2022; 33 DL Sun (6237_CR33) 2020; 290 K Okamoto (6237_CR11) 2011; 52 K Allsopp (6237_CR35) 2019; 279 M Hamilton (6237_CR5) 1959; 23 GC Adams (6237_CR67) 2018; 269 SH Leu (6237_CR52) 2015; 7 J Delgadillo (6237_CR8) 2012; 125 LS Bernardo (6237_CR26) 2019; 125 EA Bauer (6237_CR48) 2021; 38 M.Hamilton (6237_CR4) 1960; 23 Miquel Roca1 MV (6237_CR55) 2015; 43 C Rodriguez-Seijas (6237_CR60) 2020; 284 C Gonzalez-Blanch (6237_CR37) 2018; 269 K Kroenke (6237_CR23) 2010; 32 6237_CR38 RT Liu (6237_CR58) 2019; 102 M Couillard Larocque (6237_CR42) 2023; 320 SA Mossman (6237_CR49) 2017; 29 C Cullen (6237_CR44) 2021; 23 ML Harry (6237_CR12) 2019; 254 6237_CR30 M Zimmerman (6237_CR66) 2011; 185 C Andrade (6237_CR28) 2022; 83 FJ Charlson (6237_CR1) 2016; 388 P Dajpratham (6237_CR14) 2020; 20 KM Fiest (6237_CR22) 2016; 34 M Zimmerman (6237_CR65) 2020; 286 A Koyuncu (6237_CR34) 2015; 225 DA Pizzagalli (6237_CR46) 2016; 33 L Gutiérrez-Rojas (6237_CR53) 2011; 186 D Goldberg (6237_CR45) 2012; 29 C Hu (6237_CR16) 2012; 141 H Leo (6237_CR25) 2000; 50 B Levis (6237_CR15) 2020; 323 KKLSBW Williams (6237_CR7) 2001; 16 PN Belhumeur (6237_CR24) 1997; 19 J Walsh-Messinger (6237_CR41) 2019; 278 6237_CR20 6237_CR21 Q Seon (6237_CR43) 2021; 281 E Salagre (6237_CR56) 2017; 221 G Xu (6237_CR57) 2012; 136 LM Williams (6237_CR40) 2017; 34 LM Xin (6237_CR62) 2019; 246 D Nutt (6237_CR64) 2014; 85 C Lafont (6237_CR17) 2021; 26 C Beard (6237_CR54) 2014; 28 V Paavonen (6237_CR68) 2018; 236 M Zimmerman (6237_CR10) 2010; 12 C Ziebold (6237_CR39) 2019; 49 D Lojko (6237_CR63) 2015; 185 KSRL Kroenke (6237_CR50) 2001; 16 EY Wang (6237_CR18) 2018; 31 P Lauren (6237_CR27) 2018; 277 AM Chekroud (6237_CR2) 2017; 4 AC Leon (6237_CR36) 1997; 27 D Lee (6237_CR13) 2019; 259 DL Sun (6237_CR9) 2020; 290 JY Zhu (6237_CR47) 2022; 39 R Saunders (6237_CR61) 2019; 249 |
| References_xml | – volume: 32 start-page: 345 issue: 4 year: 2010 ident: 6237_CR23 publication-title: Gen Hosp Psychiatry doi: 10.1016/j.genhosppsych.2010.03.006 – volume: 33 start-page: 891 issue: 10 year: 2016 ident: 6237_CR46 publication-title: Depress Anxiety doi: 10.1002/da.22550 – volume: 125 start-page: 37 issue: 1–2 year: 2012 ident: 6237_CR8 publication-title: Drug Alcohol Depend doi: 10.1016/j.drugalcdep.2012.03.011 – volume: 28 start-page: 547 issue: 6 year: 2014 ident: 6237_CR54 publication-title: J Anxiety Disord doi: 10.1016/j.janxdis.2014.06.002 – volume: 49 start-page: 764 issue: 5 year: 2019 ident: 6237_CR39 publication-title: Psychol Med doi: 10.1017/S0033291718001381 – volume: 270 start-page: 845 year: 2018 ident: 6237_CR69 publication-title: Psychiatry Res doi: 10.1016/j.psychres.2018.10.061 – volume: 52 start-page: 177 issue: 2 year: 2011 ident: 6237_CR11 publication-title: Arch Gerontol Geriatr doi: 10.1016/j.archger.2010.03.012 – volume: 186 start-page: 254 issue: 2–3 year: 2011 ident: 6237_CR53 publication-title: Psychiatry Res doi: 10.1016/j.psychres.2010.06.020 – volume: 31 start-page: 129 issue: 3 year: 2018 ident: 6237_CR18 publication-title: J Geriatr Psychiatr Neurol doi: 10.1177/0891988718778791 – volume: 286 start-page: 112859 year: 2020 ident: 6237_CR65 publication-title: Psychiatry Res doi: 10.1016/j.psychres.2020.112859 – volume: 7 start-page: 215 issue: 2 year: 2015 ident: 6237_CR52 publication-title: Asia-Pacific Psychiatry doi: 10.1111/appy.12182 – volume: 249 start-page: 327 year: 2019 ident: 6237_CR61 publication-title: J Affect Disord doi: 10.1016/j.jad.2019.02.043 – volume: 185 start-page: 76 year: 2015 ident: 6237_CR63 publication-title: J Affect Disord doi: 10.1016/j.jad.2015.06.020 – volume: 277 start-page: 129 year: 2018 ident: 6237_CR27 publication-title: Neurocomputing doi: 10.1016/j.neucom.2017.01.117 – volume: 278 start-page: 27 year: 2019 ident: 6237_CR41 publication-title: Psychiatry Res doi: 10.1016/j.psychres.2019.03.048 – volume: 38 start-page: 690 issue: 7 year: 2021 ident: 6237_CR48 publication-title: Depress Anxiety doi: 10.1002/da.23160 – volume: 33 start-page: 480 issue: 3 year: 2022 ident: 6237_CR19 publication-title: Neuropsychological Rehabilitation doi: 10.1080/09602011.2022.2030366 – volume: 85 start-page: 119 issue: 2 year: 2014 ident: 6237_CR64 publication-title: J Neurol Neurosurg Psychiatry doi: 10.1136/jnnp-2013-306984 – volume: 284 start-page: 112788 year: 2020 ident: 6237_CR60 publication-title: Psychiatry Res doi: 10.1016/j.psychres.2020.112788 – volume: 4 start-page: 276 issue: 4 year: 2017 ident: 6237_CR2 publication-title: Lancet Psychiatry doi: 10.1016/S2215-0366(17)30088-3 – volume: 225 start-page: 79 issue: 1–2 year: 2015 ident: 6237_CR34 publication-title: Psychiatry Res doi: 10.1016/j.psychres.2014.10.014 – volume: 43 start-page: 187 issue: 5 year: 2015 ident: 6237_CR55 publication-title: Actas Esp Psiquiatr – volume: 23 start-page: 754 issue: 8 year: 2021 ident: 6237_CR44 publication-title: Bipolar Disord doi: 10.1111/bdi.13125 – volume: 39 start-page: 932 issue: 12 year: 2022 ident: 6237_CR47 publication-title: Depress Anxiety doi: 10.1002/da.23299 – volume: 20 start-page: 291 issue: 1 year: 2020 ident: 6237_CR14 publication-title: BMC Psychiatry doi: 10.1186/s12888-020-02699-6 – volume: 16 start-page: 606 issue: 9 year: 2001 ident: 6237_CR50 publication-title: J Gen Intern Med doi: 10.1046/j.1525-1497.2001.016009606.x – volume: 6 start-page: 211 issue: 3 year: 2019 ident: 6237_CR3 publication-title: Lancet Psychiatry doi: 10.1016/S2215-0366(18)30511-X – volume: 246 start-page: 285 year: 2019 ident: 6237_CR62 publication-title: J Affect Disord doi: 10.1016/j.jad.2018.12.020 – volume: 388 start-page: 376 issue: 10042 year: 2016 ident: 6237_CR1 publication-title: Lancet doi: 10.1016/S0140-6736(16)30590-6 – volume: 185 start-page: 444 issue: 3 year: 2011 ident: 6237_CR66 publication-title: Psychiatry Res doi: 10.1016/j.psychres.2010.06.025 – volume: 23 start-page: 50 year: 1959 ident: 6237_CR5 publication-title: Br J Med Psychol doi: 10.1111/j.2044-8341.1959.tb00467.x – volume: 320 start-page: 340 year: 2023 ident: 6237_CR42 publication-title: J Affect Disord doi: 10.1016/j.jad.2022.09.057 – volume: 29 start-page: 227 issue: 4 year: 2017 ident: 6237_CR49 publication-title: Ann Clin Psychiatry – volume: 221 start-page: 205 year: 2017 ident: 6237_CR56 publication-title: J Affect Disord doi: 10.1016/j.jad.2017.06.034 – volume: 290 start-page: 113026 year: 2020 ident: 6237_CR33 publication-title: Psychiatry Res doi: 10.1016/j.psychres.2020.113026 – volume: 259 start-page: 136 year: 2019 ident: 6237_CR13 publication-title: J Affect Disord doi: 10.1016/j.jad.2019.06.036 – volume: 133 start-page: 429 year: 1978 ident: 6237_CR6 publication-title: Br J Psychiatry: J Mental Sci doi: 10.1192/bjp.133.5.429 – volume: 24 start-page: 189 issue: 2 year: 2008 ident: 6237_CR51 publication-title: J Gen Intern Med doi: 10.1007/s11606-008-0846-z – volume: 63 start-page: 66 year: 2019 ident: 6237_CR59 publication-title: J Behav Ther Exp Psychiatry doi: 10.1016/j.jbtep.2018.11.002 – volume: 269 start-page: 86 year: 2018 ident: 6237_CR67 publication-title: Psychiatry Res doi: 10.1016/j.psychres.2018.08.037 – volume: 16 start-page: 606 issue: 7 year: 2001 ident: 6237_CR7 publication-title: J Gen Intern Med – volume: 125 start-page: 78 year: 2019 ident: 6237_CR26 publication-title: Pattern Recognit Lett doi: 10.1016/j.patrec.2019.04.003 – volume: 29 start-page: 471 issue: 6 year: 2012 ident: 6237_CR45 publication-title: Depress Anxiety doi: 10.1002/da.21939 – volume: 34 start-page: 9 issue: 1 year: 2017 ident: 6237_CR40 publication-title: Depress Anxiety doi: 10.1002/da.22556 – volume: 290 start-page: 113026 year: 2020 ident: 6237_CR9 publication-title: Psychiatry Res doi: 10.1016/j.psychres.2020.113026 – volume: 27 start-page: 93 issue: 2 year: 1997 ident: 6237_CR36 publication-title: Int J Psychiatry Med doi: 10.2190/T8EM-C8YH-373N-1UWD – volume: 279 start-page: 15 year: 2019 ident: 6237_CR35 publication-title: Psychiatry Res doi: 10.1016/j.psychres.2019.07.005 – volume: 254 start-page: 59 year: 2019 ident: 6237_CR12 publication-title: J Affect Disord doi: 10.1016/j.jad.2019.05.017 – volume: 26 start-page: e983 issue: 6 year: 2021 ident: 6237_CR17 publication-title: Oncologist doi: 10.1002/onco.13746 – volume: 23 start-page: 56 year: 1960 ident: 6237_CR4 publication-title: J Neurol Neurosurg Psychiatry doi: 10.1136/jnnp.23.1.56 – volume: 61 start-page: 344 issue: 4 year: 2008 ident: 6237_CR32 publication-title: J Clin Epidemiol doi: 10.1016/j.jclinepi.2007.11.008 – volume: 323 start-page: 2290 issue: 22 year: 2020 ident: 6237_CR15 publication-title: JAMA doi: 10.1001/jama.2020.6504 – volume: 55 start-page: 263 issue: 3 year: 2003 ident: 6237_CR31 publication-title: J Psychosom Res doi: 10.1016/S0022-3999(02)00604-9 – volume: 102 start-page: 13 year: 2019 ident: 6237_CR58 publication-title: Neurosci Biobehav Rev doi: 10.1016/j.neubiorev.2019.03.023 – volume: 50 start-page: 243 issue: 2 year: 2000 ident: 6237_CR25 publication-title: Chemometr Intell Lab Syst doi: 10.1016/S0169-7439(99)00061-1 – ident: 6237_CR30 doi: 10.1186/1471-244X-13-177 – volume: 269 start-page: 596 year: 2018 ident: 6237_CR37 publication-title: Psychiatry Res doi: 10.1016/j.psychres.2018.09.007 – volume: 34 start-page: 351 issue: 2 year: 2016 ident: 6237_CR22 publication-title: Neurol Clin doi: 10.1016/j.ncl.2015.11.003 – ident: 6237_CR38 doi: 10.1016/j.psychres.2020.113232 – volume: 236 start-page: 252 year: 2018 ident: 6237_CR68 publication-title: J Affect Disord doi: 10.1016/j.jad.2018.04.084 – volume: 141 start-page: 40 issue: 1 year: 2012 ident: 6237_CR16 publication-title: J Affect Disord doi: 10.1016/j.jad.2012.02.035 – volume: 281 start-page: 972 year: 2021 ident: 6237_CR43 publication-title: J Affect Disord doi: 10.1016/j.jad.2020.09.139 – volume: 19 start-page: 711 year: 1997 ident: 6237_CR24 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/34.598228 – ident: 6237_CR21 doi: 10.1016/j.jstrokecerebrovasdis.2021.106222 – volume: 83 start-page: 22f14593 issue: 4 year: 2022 ident: 6237_CR28 publication-title: J Clin Psychiatry doi: 10.4088/JCP.22f14593 – volume: 136 start-page: 328 issue: 3 year: 2012 ident: 6237_CR57 publication-title: J Affect Disord doi: 10.1016/j.jad.2011.11.029 – ident: 6237_CR20 doi: 10.1016/j.jns.2021.120103 – volume: 74 start-page: 459 issue: 6 year: 2013 ident: 6237_CR29 publication-title: J Psychosom Res doi: 10.1016/j.jpsychores.2013.03.093 – volume: 12 start-page: 528 issue: 5 year: 2010 ident: 6237_CR10 publication-title: Bipolar Disord doi: 10.1111/j.1399-5618.2010.00840.x |
| SSID | ssj0017851 |
| Score | 2.408012 |
| Snippet | Background
The current study aimed to investigate the performances of clinical scales rated by clinicians and patients as well as cognitive function tests in... The current study aimed to investigate the performances of clinical scales rated by clinicians and patients as well as cognitive function tests in... Background The current study aimed to investigate the performances of clinical scales rated by clinicians and patients as well as cognitive function tests in... BackgroundThe current study aimed to investigate the performances of clinical scales rated by clinicians and patients as well as cognitive function tests in... Abstract Background The current study aimed to investigate the performances of clinical scales rated by clinicians and patients as well as cognitive function... |
| SourceID | doaj pubmedcentral proquest gale pubmed crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Publisher |
| StartPage | 785 |
| SubjectTerms | Accuracy Adult Analysis Anxiety Anxiety disorders Anxiety Disorders - classification Anxiety Disorders - diagnosis Bipolar disorder Bipolar Disorder - classification Bipolar Disorder - diagnosis Bipolar Disorder - psychology Care and treatment Case-Control Studies Classification Clinician-rated scales Cognition Cognitive ability Cognitive appraisal Complications and side effects Cross-validation Demographic aspects Depressive Disorder, Major - classification Depressive Disorder, Major - diagnosis Depressive Disorder, Major - psychology Diagnosis Discriminant Analysis Discrimination Epilepsy Female Generalized anxiety disorder Humans Insomnia Major depressive disorder Male Medicine Medicine & Public Health Mental depression Mental disorders Middle Aged Neuropsychological Tests - standards Neuropsychological Tests - statistics & numerical data Patient-rated scales Patients Prevalence studies (Epidemiology) Psychiatric Status Rating Scales - standards Psychiatrists Psychiatry Psychotherapy Questionnaires |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Nb9QwELVQD4gLonyGtshISBzAahzHSdxbQVQVUhEHKvVm2WNH9JKiza4Ef6G_ujOOszRFiAuHvcSTleMZe97Y4zeMvZEq9tJBFJXxIGopjehM3wpwOkS06rpv6YLz2Zfm9Lz-fKEvbpX6opywiR54GrhDhNy-8U57FU1N3tA5H2Sv2xB8CD3Q6luacg6m8vkBlZyfr8h0zeGIqzBaBPojUaK_b0WzcEOJrf_PNfmWU7qbMHnn1DQ5o5NH7GFGkfx46v0uuxeHx-z-WT4nf8Kuv050qYKIIAIfURFx5JdpAyFyxHwcCDVTmlDSDHcAm5WDXxwxLM9cqyOnTVq-zZVFqSHg7yelefKQaTuPuOMEVd2KHsFUJWxYo9zEdvKUnZ98-vbxVOSqCwIwuliLoIOrTQtVCcbVXWwb7bSMPlR03UdJHH0FxkAVvcPgpabm2FYe32jLHpR6xnaGqyG-YDw65Z0H6H1v6jJKpzqPaF6VDkN4VXYFezcrwf6YyDVsCkq6xk4qs6gym1Rmm4J9ID1tJYkYOz1Ac7HZXOy_zKVgb0nLlqYvqhJcvoWAHSYiLHtM7DkdxnS6YPsLSZx2sGye7cTmaT9aRTtqBoNYWbDX22Z6k1LZhni1IZmKiggg7i7Y88mstp-kjK5MqfHPu4XBLb552TJcfk-k4IjsNYZ-pmDvZ9v83a-_D-rL_zGoe-xBRXOLsiPlPttZrzbxALHa2r9K0_IGsvdAZg priority: 102 providerName: Directory of Open Access Journals – databaseName: Health & Medical Collection dbid: 7X7 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwELagSIgL4k2gICMhcQCrSRwnMRdUEFWFVMSBSnuz7LFDe8mWza4Ef4FfzYzjpKQIDnuJJ7v2zozn4fE3jL0sZOgKC0GU2oGoikKLVneNAKt8QKmuuoYuOJ98ro9Pq08rtUoJtyGVVU57Ytyo_RooR34gKVmhMT4o3l18F9Q1ik5XUwuN6-wG_oqk1g3Nag64YuP56aJMWx8MuBejXKBVEjla_UbUC2MUMfv_3pn_ME1XyyavnJ1Gk3R0h91OviQ_HJl_l10L_T128ySdlt9nv76MoKmC4CA8H5AdYeDnMY0QOHp-HMh3pmKhyB9uAXYbCz85erI8Ia4OnFK1fK6YRare4-cHFXtyn8A733LLyWG1G3oEY6-wfot0I-bJA3Z69PHrh2ORei8IwBhjK7zyttINlDloW7WhqZVVRXC-pEs_snC-kKA1lMFZDGEqGg5N6fCNJu9Ayodsr1_34THjwUpnHUDnOl3lobCydejTy9xiIC_zNmOvJyaYixFiw8TQpK3NyDKDLDORZabO2Hvi00xJ8NjxwXrzzSRtMxinudpZ5WTQFblQ1uKEO9V477zvIGOviMuGlBhZCTbdRcAJExyWOSQMnRYjO5Wx_QUlKh8shyc5MUn5B3Mpqhl7MQ_Tm1TQ1of1jmhKaiWA3nfGHo1iNS9JalXqXOGXtwuBW6x5OdKfn0VocPTvFQaAOmNvJtm8nNe__9Qn_1_GU3arJK2h6sdin-1tN7vwDH2xrXseFe43sB41_A priority: 102 providerName: ProQuest – databaseName: SpringerOpen Free (Free internet resource, activated by CARLI) dbid: C6C link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Nb9QwEB1BkRAXxDeBgoyExAEs4jhOYm5lRVUhFXGgUm-WPXZELyna7Er0L_RXM5NkQ1PgwGEv8XjlZGbsN_bMM8BrpVOrPCZZ2ICyVMrKxra1RG9iIqsu25oLnI-_VEcn5edTczrR5HAtzNXze9VU73uaP0mXtJLInFbqWlY34ZahiZeteVWt5hMDvmR-VxTz136LhWfg5_9zFr6yDF1Pkbx2TjosP4f34O6EG8XBqOj7cCN1D-D28XQy_hAuv44EqZKpH6Lo6dOnXpwNWwZJEMoTyDiZE4MGXQiPuF17vBCEWsXErtoL3pYVc3YsSXWRfj85sVPEiajzg_CCwalf8yMc7wXrNiQ38ps8gpPDT99WR3K6Z0EixRMbGU30pa2xyNH6skl1ZbxRKcSCC3y0ClFptBaLFDyFKyU3p7oI1KPOW9T6Mex15116CiJ5HXxAbENryzwpr5tA-F3nnoJ2nTcZvN0pwf0Y6TTcEIY0lRtV5khlblCZqzL4yHqaJZkKe3hAFuImz3IUk4UqeBN0siXDJe9pwK2pYwwxtpjBG9ayY4clVaKf6g5owEx95Q6YL6ehKM5ksL-QJEfDZfPOTtzk6L3TvIdmKWxVGbyam7knJ6916XzLMgVfG0BIO4Mno1nNr6StKWxu6M-bhcEt3nnZ0p19H2jACcsbCvZsBu92tvl7XP_-qM_-T_w53CnYizjzUe3D3ma9TS8Ih23Cy8EBfwGKly71 priority: 102 providerName: Springer Nature |
| Title | Patient-rated scales improve the classification accuracy for patients with depression and anxiety disorder: a linear discriminant analysis |
| URI | https://link.springer.com/article/10.1186/s12888-024-06237-6 https://www.ncbi.nlm.nih.gov/pubmed/39529055 https://www.proquest.com/docview/3142298281 https://www.proquest.com/docview/3128757977 https://pubmed.ncbi.nlm.nih.gov/PMC11555859 https://doaj.org/article/086b6ba5b3e941028aabd1f57ddbddfc |
| Volume | 24 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3ri9QwEA_3APGL-LZ6LhEEP2i0adqmEURulzsO4Y7jcGHxS8ireiBd3Qfc_Qv-1c6k7Z49Tz-00CYtSWemM5PM_IaQl1yEmhsXWKasYznnilWqlsyZwgfg6ryWmOB8fFIeTfNPs2K2RfpyR90HXN7o2mE9qeni-9uLn5cfQeA_RIGvyndL-McCvUHbsBS0uWTlNtmN-0UYypdf7SpgIfqYbSQ5A7U265NobnzHQFFFPP-__9p_qK3rIZXX9lWjujq8S-50dibdbxnjHtkKzX1y67jbSX9Afp22gKoMoSI8XQKpwpKexyWGQMEqpA7tagwkirSjxrn1wrhLClYu7dBYlxSXcekmmhZ6NR6OCwwEpb4D9nxPDUVj1izwlmvriDUr6NfioTwk08ODz5Mj1tVlYA78jxXzhTe5ki5LnTJ5FWRZmIIH6zNMCBLcei6cUi4L1oB7k2NzkJmFJ2RaOyEekZ1m3oQnhAYjrLHO1bZWeRq4EZUFe1-kBpx8kVYJed0TQf9o4Td0dFuqUrck00AyHUmmy4SMkU6bngidHW_MF191J4kafDhbWlNYEVSO5pUxMOC6kN5b72uXkFdIZY0sB6R0pstTgAEjVJbeR3ydCry-IiF7g54gmG7Y3POJ7vlaC1xzU-Dm8oS82DTjkxjs1oT5GvtkWGYALPOEPG7ZajMloYpMpQW8vBow3GDOw5bm_FuEDQfbvwDnUCXkTc-bV-P690d9-v9ZPiO3M5QajIzke2RntViH52CnreyIbMuZHJHd8cHJ6RlcTcrJKK55jKJYwvls_OU3GNZAWQ |
| linkProvider | Scholars Portal |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELaqVgIuiDeBAkYCcQCrSRwnMVKFWmi1pd1VhVqpN-NXoJds2ewK-hf4Ufw2ZhJnS4rg1sNeYmdlZ2Y834znQciLhPsq0dazVBrLsiSRrJRVwawWzgNXZ1WBCc7jST46zj6eiJMV8qvPhcGwyv5MbA9qN7XoI9_g6KyQYB8k786-MewahberfQsNHVoruM22xFhI7Nj359_BhGs29z4AvV-m6e7O0fsRC10GmAU0PWdOOJ3JwqaxlTorfZELLRJvXIrpLTwxLuFWSpt6owGsZzjsi9TAG0VcWXSIggpYy9CBskrWtncmh5-W9xgFAJo-VafMNxrQBsCZoBdZDLijYPlAHbZdA_7WDX8ox8uBm5dub1uluHuL3Axolm517HebrPj6Drk2Dvf1d8nPw65sK8OCFI42wBC-oaetI8NTwJ7UInrHcKWWQyh84cVM23MKWJqGmq8NRWcxXcbswqzawe8HhptSF8qHvqWaImTWM3xku25l9RzmdVVX7pHjK6HLfbJaT2v_kFCvudHG2spUMot9onlpwKrgsfaG87iMyOueCOqsK_KhWuOozFVHMgUkUy3JVB6RbaTTciYW6G4fTGdfVJB3BZaiyY0WhnuZIYjTGhZcicI541xlI_IKqazwGAFSWh2yIWDBWJBLbWEVnxJsSxGR9cFMEH87HO75RIXjp1EXwhKR58thfBND6mo_XeCcFJsZAP6PyIOOrZZb4lKkMhbw5-WA4QZ7Ho7Up1_b4uRgYQgwQWVE3vS8ebGuf3_UR__fxjNyfXQ0PlAHe5P9x-RGihKEsZjJOlmdzxb-CSDDuXkaxI-Sz1ct8b8BL3B5JA |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Lb9QwEB5BK1VcEO8GChgJiQNYTeI4ibktj1VZaFUJKvVm-RXoJVttslL7F_jVzCTZ0BQ4cNhLPF45-WbsGXvmM8DLRIQqMS7wVFnHsyRRvFRVwZ2RPqBWZ1VBBc6HR_nBSbY4ladXqvi7bPfNkWRf00AsTXW7f-6r3sTLfL_BWRURxvWFx7h-Fzy_CdulVArDr-3ZbPF1MZ4k0OXzm2KZv_acLEgdb_-fs_OV5el66uS189NuWZrfgduDP8lmvQLchRuhvgc7h8OJ-X34edwTp3KihPCsQUhCw866rYTA0PtjjvxnShjqMGLGufXKuEuG3iwbWFcbRtu1bMyaRana4--CEj6ZHwg83zLDyGk1K3rk-vvC6hblet6TB3Ay__jt_QEf7l_gDuOMlnvpTaYKl8ZOmawMRS6NTIL1KRX-iMT6RDilXBqswTAmo-ZQpBZ7FHHlhHgIW_WyDrvAghHWWOcqW6ksDokRpUW_XsQGg3kRlxG83oCgz3uaDd2FJ2Wue8g0QqY7yHQewTvCaZQkiuzuwXL1XQ8WpzFWs7k10oqgMnKjjMEBV7Lw3npfuQheEcqaDBmhdGaoR8ABEyWWnhGPTonRnYxgbyKJBuimzRs90cME0GhBe2sKw9kkghdjM_WkpLY6LNckk9J1AuiBR_CoV6vxlYSSqYol_nk5UbjJO09b6rMfHT04-vgSg0AVwZuNbv4e178_6uP_E38OO8cf5vrLp6PPT-BWSgZFyZHJHmy1q3V4iq5aa58N1vgLRfQ7og |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Patient-rated+scales+improve+the+classification+accuracy+for+patients+with+depression+and+anxiety+disorder%3A+a+linear+discriminant+analysis&rft.jtitle=BMC+psychiatry&rft.au=Ji%2C+Shanling&rft.au=Zhang%2C+Jing&rft.au=Zhou%2C+Cong&rft.au=Chen%2C+Min&rft.date=2024-11-11&rft.pub=BioMed+Central+Ltd&rft.issn=1471-244X&rft.eissn=1471-244X&rft.volume=24&rft.issue=1&rft_id=info:doi/10.1186%2Fs12888-024-06237-6&rft.externalDocID=A815686665 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1471-244X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1471-244X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1471-244X&client=summon |