Prediction of gestational diabetes mellitus using visceral fat measurements with enhanced accuracy rate by voted perceptron classifier and K-nearest neighbour classifier
Saved in:
| Published in | Hybrid and Advanced Technologies |
|---|---|
| Format | Book Chapter |
| Language | English |
| Published |
United Kingdom
Taylor & Francis Group
2025
|
| Online Access | Get full text |
| ISBN | 9781032902548 103290254X |
| DOI | 10.1201/9781003559115-33 |
Cover
| BookMark | eNqVUMtu3DAMVNEH2iR7z1E_4FYSLcs6FkFfaIDk0JwNSqZ2hTjyRpJT5JP6l1XTHHrtiRhySM7MCXuV1kSMnUvxXiohP1gzSiFAayul7gBesN1TqxcgxQji5TMGZYXS_fiGncjeDmC16u1btislOqHHYbQgzTv26zrTHH2Na-Jr4HsqFf8AXPgc0VGlwu9oWWLdCt9KTHv-EIun3AgBa5th2TLdUaqF_4z1wCkdMHmaOXq_ZfSPPGMl7h75w1pb-0jZ07Hm9tAv2OSESJljmvn3LhHmpoAnivuDW7f8D-WMvQ64FNo911N28_nTj4uv3eXVl28XHy-7KLWBTofeWkQ1uIEGRxaG2RpjhxD8PDqv9ehaKtJpI6010njQszRGzQGG3geEU6b_3j3m9X5raiZy63rrm8Nm2h_wWCmXqaWnjDZqAiEnZeG_95Qyk5IAvwGe8ZKf |
|---|---|
| ContentType | Book Chapter |
| DBID | FFUUA |
| DOI | 10.1201/9781003559115-33 |
| DatabaseName | ProQuest Ebook Central - Book Chapters - Demo use only |
| DeliveryMethod | fulltext_linktorsrc |
| EISBN | 9781040310830 1040310834 |
| Editor | Nurhayati, Nurhayati Jones Christydass, S. Prasad Kannadhasan, S |
| Editor_xml | – sequence: 1 fullname: Kannadhasan, S – sequence: 2 fullname: Jones Christydass, S. Prasad – sequence: 3 fullname: Nurhayati, Nurhayati |
| ExternalDocumentID | EBC31727572_301_293 EBC31727572_227_213 |
| GroupedDBID | AGWHU ALMA_UNASSIGNED_HOLDINGS FFUUA CZZ EIXGO |
| ID | FETCH-LOGICAL-i1573-5f499aa26b6e6be936d97796ffcd8bc558b5481b57199717c35d1772df364cfa3 |
| ISBN | 9781032902548 103290254X |
| IngestDate | Thu May 29 17:53:44 EDT 2025 Sat Aug 16 21:43:31 EDT 2025 |
| IsPeerReviewed | false |
| IsScholarly | false |
| LCCallNum | Q334 |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-i1573-5f499aa26b6e6be936d97796ffcd8bc558b5481b57199717c35d1772df364cfa3 |
| OCLC | 1496395249 |
| PQID | EBC31727572_227_213 |
| ParticipantIDs | proquest_ebookcentralchapters_31727572_301_293 proquest_ebookcentralchapters_31727572_227_213 |
| PublicationCentury | 2000 |
| PublicationDate | 2025 |
| PublicationDateYYYYMMDD | 2025-01-01 |
| PublicationDate_xml | – year: 2025 text: 2025 |
| PublicationDecade | 2020 |
| PublicationPlace | United Kingdom |
| PublicationPlace_xml | – name: United Kingdom |
| PublicationSubtitle | Proceedings of the International Conference on Hybrid and Advanced Technologies (ICHAT 2024), April 26-28, 2024, Ongole, Andhra Pradesh, India (Volume 1) |
| PublicationTitle | Hybrid and Advanced Technologies |
| PublicationYear | 2025 |
| Publisher | Taylor & Francis Group |
| Publisher_xml | – name: Taylor & Francis Group |
| SSID | ssib058689317 ssib058558161 ssib058833213 ssib060297727 |
| Score | 1.749299 |
| SourceID | proquest |
| SourceType | Publisher |
| Title | Prediction of gestational diabetes mellitus using visceral fat measurements with enhanced accuracy rate by voted perceptron classifier and K-nearest neighbour classifier |
| URI | http://ebookcentral.proquest.com/lib/SITE_ID/reader.action?docID=31727572&ppg=213&c=UERG http://ebookcentral.proquest.com/lib/SITE_ID/reader.action?docID=31727572&ppg=293 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3Pb9MwFLbYuCAuIED81juwU-XROLGTHmFsmmD8OHSityh2bNHD0tGmk8Z_xH_Je06cZCkHxiWqXLeu7a_25-_5vcfYGyWS0mZFyksRFRx3fM1nxkqeZNZFflPyXq6fv6jT8-TjQi76K0Heu6TWh-bXX_1K_mdWsQznlbxkbzGz3ZdiAb7G-cUnzjA-R-T3pszaxCm8JmcrL_6_C4b8TijvrgY2db-tyR4TyCGZlIIG2GmvFxSZs95uJluvHlwtN4bkqokranyvExJbbzhb_WhaLIzZrillPIWcIC57tSIOe9ncl1ljg4b4-dKRVwv91k-8orC5m3pSkSpLouqgylCEEHIkQsx38oEMpLNwWKXQfWTUbCJr7izdwqcM8PWmSIJwEZa8iZFxM0q2iEaFfjM-fn8UExeTqciFSHOsdRCfXP7klF-M7PAH8YcGAHtsL01xLbz7dfH97CysPXhqklnU-_jKTCGT649-kpIyi576KEr6he2Rr2DoVxvQqe9naxbHnr0d92tn6_d8Zv6A3ScfFyDnE-zeQ3bHVo_Y7x4lsHIwQAkElEBACXiUQEAJIEpgiBIglEBACQSUAKEE9DV4lECPEughAIgS6FACHUoGVR6z85Pj-dEpbzN58GUk05hLhwfrohBKK6u0ncWqxNGbKedMmWmDQ69xuCItU7r3FKUmlmWEw1u6WCXGFfETtl-tKvuUgY6NslPjlKZEDRLJFHJcO01iV0pbiuIZOwwDm_v7Bu0lZ9OM6CYfw-TfP4B7YY7s-PltW3jB7vX_mZdsv15v7SuksrV-3aLwD8DpokA |
| linkProvider | Taylor & Francis |
| 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%3Abook&rft.genre=bookitem&rft.title=Hybrid+and+Advanced+Technologies&rft.atitle=Prediction+of+gestational+diabetes+mellitus+using+visceral+fat+measurements+with+enhanced+accuracy+rate+by+voted+perceptron+classifier+and+K-nearest+neighbour+classifier&rft.date=2025-01-01&rft.pub=Taylor+%26+Francis+Group&rft.isbn=9781032902548&rft_id=info:doi/10.1201%2F9781003559115-33&rft.externalDBID=213&rft.externalDocID=EBC31727572_227_213 |
| thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Febookcentral.proquest.com%2Fcovers%2F31727572-l.jpg |