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
Resource Type
Article
Authors
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 ; Yang, Jason ; Shah, Anoop S V ; Pickering, John W ; Than, Martin P
Source
In The Lancet Digital Health May 2022 4(5):e300-e308
Subject
Primary Research Articles
Language
ISSN
2589-7500