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A Machine Learning Aided Systematic Review and Meta-Analysis of the Relative Risk of Atrial Fibrillation in Patients With Diabetes Mellitus.

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Title: A Machine Learning Aided Systematic Review and Meta-Analysis of the Relative Risk of Atrial Fibrillation in Patients With Diabetes Mellitus.
Authors: Xiong Z; Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand., Liu T; Department of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China.; Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, Tianjin, China., Tse G; Department of Medicine and Therapeutics, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong., Gong M; Department of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China.; Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, Tianjin, China., Gladding PA; Department of Cardiology, Waitemata District Health Board, Auckland, New Zealand., Smaill BH; Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand., Stiles MK; Waikato Hospital, Hamilton, New Zealand., Gillis AM; Department of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, University of Calgary, Calgary, AB, Canada., Zhao J; Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Source: Frontiers in physiology [Front Physiol] 2018 Jul 03; Vol. 9, pp. 835. Date of Electronic Publication: 2018 Jul 03 (Print Publication: 2018).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101549006 Publication Model: eCollection Cited Medium: Print ISSN: 1664-042X (Print) Linking ISSN: 1664042X NLM ISO Abbreviation: Front Physiol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: A Machine Learning Aided Systematic Review and Meta-Analysis of the Relative Risk of Atrial Fibrillation in Patients With Diabetes Mellitus.
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  Data: <searchLink fieldCode="AU" term="%22Xiong+Z%22">Xiong Z</searchLink>; Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Liu+T%22">Liu T</searchLink>; Department of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China.; Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, Tianjin, China.<br /><searchLink fieldCode="AU" term="%22Tse+G%22">Tse G</searchLink>; Department of Medicine and Therapeutics, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong.<br /><searchLink fieldCode="AU" term="%22Gong+M%22">Gong M</searchLink>; Department of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China.; Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, Tianjin, China.<br /><searchLink fieldCode="AU" term="%22Gladding+PA%22">Gladding PA</searchLink>; Department of Cardiology, Waitemata District Health Board, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Smaill+BH%22">Smaill BH</searchLink>; Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Stiles+MK%22">Stiles MK</searchLink>; Waikato Hospital, Hamilton, New Zealand.<br /><searchLink fieldCode="AU" term="%22Gillis+AM%22">Gillis AM</searchLink>; Department of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, University of Calgary, Calgary, AB, Canada.<br /><searchLink fieldCode="AU" term="%22Zhao+J%22">Zhao J</searchLink>; Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
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              Text: 2018 Jul 03
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