Artificial Intelligence: Practical Primer for Clinical Research in Cardiovascular Disease

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Bibliographic Details
Published inJournal of the American Heart Association Vol. 8; no. 17; p. e012788
Main Authors Kagiyama, Nobuyuki, Shrestha, Sirish, Farjo, Peter D., Sengupta, Partho P.
Format Journal Article
LanguageEnglish
Published England John Wiley and Sons Inc 03.09.2019
Wiley
Subjects
artificial intelligence
Artificial Intelligence - trends
Biomedical Research - trends
Cardiovascular Diseases - diagnosis
Cardiovascular Diseases - physiopathology
Cardiovascular Diseases - therapy
Contemporary Review
deep learning
Diagnosis, Computer-Assisted - trends
Diffusion of Innovation
Humans
machine learning
Precision Medicine - trends
risk model
risk prediction
statistics
Telemedicine - trends
Therapy, Computer-Assisted - trends
deep learning
telemedicine
risk prediction
machine learning
artificial intelligence
risk model
statistics
Online AccessGet full text
ISSN2047-9980
2047-9980
DOI10.1161/JAHA.119.012788

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Author Shrestha, Sirish
Farjo, Peter D.
Kagiyama, Nobuyuki
Sengupta, Partho P.
AuthorAffiliation 1 West Virginia University Heart and Vascular Institute Morgantown WV
AuthorAffiliation_xml – name: 1 West Virginia University Heart and Vascular Institute Morgantown WV
Author_xml – sequence: 1
  givenname: Nobuyuki
  surname: Kagiyama
  fullname: Kagiyama, Nobuyuki
  organization: West Virginia University Heart and Vascular Institute Morgantown WV
– sequence: 2
  givenname: Sirish
  surname: Shrestha
  fullname: Shrestha, Sirish
  organization: West Virginia University Heart and Vascular Institute Morgantown WV
– sequence: 3
  givenname: Peter D.
  surname: Farjo
  fullname: Farjo, Peter D.
  organization: West Virginia University Heart and Vascular Institute Morgantown WV
– sequence: 4
  givenname: Partho P.
  surname: Sengupta
  fullname: Sengupta, Partho P.
  organization: West Virginia University Heart and Vascular Institute Morgantown WV
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Cites_doi 10.1038/s41569-018-0104-y
10.1093/bioinformatics/bti499
10.1161/CIRCULATIONAHA.118.034338
10.1038/nature14539
10.1016/j.jacc.2016.08.062
10.1136/heartjnl-2017-311198
10.1016/j.jacbts.2016.11.010
10.1016/j.media.2016.04.004
10.1016/j.diii.2018.10.003
10.1001/jamacardio.2016.3956
10.1161/CIR.0000000000000475
10.1111/echo.14086
10.1016/j.jcmg.2018.06.030
10.1016/j.jcmg.2018.11.025
10.1038/s41591-018-0268-3
10.1038/nature16961
10.1016/j.jcmg.2018.02.005
10.1007/s11936-019-0728-1
10.1148/radiol.2019182304
10.1093/eurheartj/ehy915
10.3414/ME13-01-0122
10.1016/j.eswa.2010.06.048
10.1609/aaai.v31i1.11231
10.1186/s12967-019-1918-z
10.1161/CIR.0000000000000366
10.1161/JAHA.114.001650
10.1016/j.diii.2019.03.015
10.1056/NEJMra1814259
10.1530/ERP-18-0081
10.1093/jamia/ocx079
10.1016/j.ijinfomgt.2014.10.007
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Issue 17
Keywords deep learning
telemedicine
risk prediction
machine learning
artificial intelligence
risk model
statistics
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References e_1_3_1_21_2
e_1_3_1_22_2
e_1_3_1_23_2
e_1_3_1_24_2
e_1_3_1_8_2
e_1_3_1_7_2
e_1_3_1_40_2
e_1_3_1_41_2
e_1_3_1_9_2
e_1_3_1_20_2
Potes C (e_1_3_1_28_2) 2016; 2016
e_1_3_1_42_2
e_1_3_1_4_2
e_1_3_1_29_2
e_1_3_1_3_2
e_1_3_1_6_2
e_1_3_1_5_2
e_1_3_1_25_2
e_1_3_1_26_2
e_1_3_1_2_2
e_1_3_1_32_2
e_1_3_1_33_2
e_1_3_1_34_2
e_1_3_1_35_2
e_1_3_1_13_2
e_1_3_1_12_2
e_1_3_1_11_2
e_1_3_1_30_2
e_1_3_1_10_2
Motwani M (e_1_3_1_17_2) 2017; 38
e_1_3_1_31_2
e_1_3_1_16_2
e_1_3_1_14_2
Clifford GD (e_1_3_1_27_2) 2016; 43
e_1_3_1_36_2
Krizhevsky A (e_1_3_1_15_2) 2012
e_1_3_1_37_2
e_1_3_1_19_2
e_1_3_1_38_2
e_1_3_1_18_2
e_1_3_1_39_2
References_xml – start-page: 1097
  year: 2012
  ident: e_1_3_1_15_2
  article-title: Imagenet classification with deep convolutional neural networks
  publication-title: Adv Neural Inf Process Syst
– ident: e_1_3_1_36_2
  doi: 10.1038/s41569-018-0104-y
– ident: e_1_3_1_32_2
– ident: e_1_3_1_31_2
  doi: 10.1093/bioinformatics/bti499
– ident: e_1_3_1_40_2
– ident: e_1_3_1_25_2
  doi: 10.1161/CIRCULATIONAHA.118.034338
– volume: 43
  start-page: 609
  year: 2016
  ident: e_1_3_1_27_2
  article-title: Classification of normal/abnormal heart sound recordings: the physionet/computing in cardiology challenge 2016
  publication-title: 2016 Comput Cardiol Conf (CinC)
– ident: e_1_3_1_14_2
  doi: 10.1038/nature14539
– ident: e_1_3_1_4_2
  doi: 10.1016/j.jacc.2016.08.062
– ident: e_1_3_1_7_2
  doi: 10.1136/heartjnl-2017-311198
– ident: e_1_3_1_6_2
  doi: 10.1016/j.jacbts.2016.11.010
– ident: e_1_3_1_24_2
  doi: 10.1016/j.media.2016.04.004
– ident: e_1_3_1_37_2
– ident: e_1_3_1_34_2
  doi: 10.1016/j.diii.2018.10.003
– ident: e_1_3_1_21_2
  doi: 10.1001/jamacardio.2016.3956
– ident: e_1_3_1_42_2
  doi: 10.1161/CIR.0000000000000475
– ident: e_1_3_1_10_2
  doi: 10.1111/echo.14086
– ident: e_1_3_1_29_2
– ident: e_1_3_1_8_2
  doi: 10.1016/j.jcmg.2018.06.030
– ident: e_1_3_1_20_2
  doi: 10.1016/j.jcmg.2018.11.025
– ident: e_1_3_1_26_2
  doi: 10.1038/s41591-018-0268-3
– ident: e_1_3_1_18_2
  doi: 10.1038/nature16961
– ident: e_1_3_1_9_2
  doi: 10.1016/j.jcmg.2018.02.005
– ident: e_1_3_1_12_2
  doi: 10.1007/s11936-019-0728-1
– ident: e_1_3_1_23_2
  doi: 10.1148/radiol.2019182304
– volume: 2016
  start-page: 621
  year: 2016
  ident: e_1_3_1_28_2
  article-title: Ensemble of feature‐based and deep learning‐based classifiers for detection of abnormal heart sounds
  publication-title: 2016 Comput Cardiol Conf (CinC)
– ident: e_1_3_1_11_2
– volume: 38
  start-page: 500
  year: 2017
  ident: e_1_3_1_17_2
  article-title: Machine learning for prediction of all‐cause mortality in patients with suspected coronary artery disease: a 5‐year multicentre prospective registry analysis
  publication-title: Eur Heart J
– ident: e_1_3_1_30_2
  doi: 10.1093/eurheartj/ehy915
– ident: e_1_3_1_5_2
  doi: 10.3414/ME13-01-0122
– ident: e_1_3_1_19_2
  doi: 10.1016/j.eswa.2010.06.048
– ident: e_1_3_1_33_2
– ident: e_1_3_1_16_2
  doi: 10.1609/aaai.v31i1.11231
– ident: e_1_3_1_38_2
  doi: 10.1186/s12967-019-1918-z
– ident: e_1_3_1_2_2
  doi: 10.1161/CIR.0000000000000366
– ident: e_1_3_1_3_2
  doi: 10.1161/JAHA.114.001650
– ident: e_1_3_1_35_2
  doi: 10.1016/j.diii.2019.03.015
– ident: e_1_3_1_13_2
  doi: 10.1056/NEJMra1814259
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  doi: 10.1530/ERP-18-0081
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  doi: 10.1093/jamia/ocx079
– ident: e_1_3_1_22_2
  doi: 10.1016/j.ijinfomgt.2014.10.007
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SubjectTerms artificial intelligence
Artificial Intelligence - trends
Biomedical Research - trends
Cardiovascular Diseases - diagnosis
Cardiovascular Diseases - physiopathology
Cardiovascular Diseases - therapy
Contemporary Review
deep learning
Diagnosis, Computer-Assisted - trends
Diffusion of Innovation
Humans
machine learning
Precision Medicine - trends
risk model
risk prediction
statistics
Telemedicine - trends
Therapy, Computer-Assisted - trends
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Title Artificial Intelligence: Practical Primer for Clinical Research in Cardiovascular Disease
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