Artificial intelligence-enabled electrocardiogram: can we identify patients with unrecognized atrial fibrillation?. Issue 3 (3rd May 2020)

Record Type:
Journal Article
Title:
Artificial intelligence-enabled electrocardiogram: can we identify patients with unrecognized atrial fibrillation?. Issue 3 (3rd May 2020)
Main Title:
Artificial intelligence-enabled electrocardiogram: can we identify patients with unrecognized atrial fibrillation?
Authors:
Kashou, Anthony H.
Attia, Itzhak Zachi
Yao, Xiaoxi
Friedman, Paul A.
Noseworthy, Peter A.
Abstract:
Is Part Of:
Expert review of precision medicine and drug development. Volume 5:Issue 3(2020)
Journal:
Expert review of precision medicine and drug development
Issue:
Volume 5:Issue 3(2020)
Issue Display:
Volume 5, Issue 3 (2020)
Year:
2020
Volume:
5
Issue:
3
Issue Sort Value:
2020-0005-0003-0000
Page Start:
119
Page End:
121
Publication Date:
2020-05-03
Subjects:
Artificial intelligence -- electrocardiogram -- atrial fibrillation -- machine learning -- stroke
Personalized medicine -- Periodicals
Drug development -- Periodicals
615.19005
Journal URLs:
http://www.tandfonline.com/toc/tepm20/current ↗
http://www.tandfonline.com/ ↗
DOI:
10.1080/23808993.2020.1735935 ↗
Languages:
English
ISSNs:
2380-8993
Deposit Type:
Legaldeposit
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store
Ingest File:
22744.xml