학술논문
Validation of the myocardial-ischaemic-injury-index machine learning algorithm to guide the diagnosis of myocardial infarction in a heterogenous population: a prespecified exploratory analysis
Document Type
Article
Author
Doudesis, Dimitrios; Lee, Kuan Ken; Yang, Jason; Wereski, Ryan; Shah, Anoop S V; Tsanas, Athanasios; Anand, Atul; Pickering, John W; Than, Martin P; Mills, Nicholas L; Mills, Nicholas L; Strachan, Fiona E; Tuck, Christopher; Shah, Anoop SV; Anand, Atul; Chapman, Andrew R; Ferry, Amy V; Lee, Kuan Ken; Doudesis, Dimitrios; Bularga, Anda; Wereski, Ryan; Taggart, Caelan; Lowry, Matthew TH; Mendusic, Filip; Kimenai, Dorien M; Sandeman, Dennis; Adamson, Philip D; Stables, Catherine L; Vallejos, Catalina A; Tsanas, Athanasios; Marshall, Lucy; Stewart, Stacey D; Fujisawa, Takeshi; Hautvast, Mischa; McPherson, Jean; McKinlay, Lynn; Ford, Ian; Newby, David E; Fox, Keith AA; Berry, Colin; Walker, Simon; Weir, Christopher J; Gray, Alasdair; Collinson, Paul O; Apple, Fred S; Reid, Alan; Cruikshank, Anne; Findlay, Iain; Amoils, Shannon; McAllister, David A; Maguire, Donogh; Stevens, Jennifer; Norrie, John; Andrews, Jack PM; Moss, Alastair; Anwar, Mohamed S; Hung, John; Malo, Jonathan; Fischbacher, Colin; Croal, Bernard L; Leslie, Stephen J; Keerie, Catriona; Parker, Richard A; Walker, Allan; Harkess, Ronnie; Wackett, Tony; Armstrong, Roma; Stirling, Laura; MacDonald, Claire; Sadat, Imran; Finlay, Frank; Charles, Heather; Linksted, Pamela; Young, Stephen; Alexander, Bill; Duncan, Chris
Source
The Lancet Digital Health; May 2022, Vol. 4 Issue: 5 pe300-e308, 9p
Subject
Language
ISSN
25897500
Abstract
Diagnostic pathways for myocardial infarction rely on fixed troponin thresholds, which do not recognise that troponin varies by age, sex, and time within individuals. To overcome this limitation, we recently introduced a machine learning algorithm that predicts the likelihood of myocardial infarction. Our aim was to evaluate whether this algorithm performs well in routine clinical practice and predicts subsequent events.