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

BACKGROUND: 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 myocardi...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052331/
https://www.ncbi.nlm.nih.gov/pubmed/35461689
http://dx.doi.org/10.1016/S2589-7500(22)00025-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052331/
https://www.ncbi.nlm.nih.gov/pubmed/35461689
http://dx.doi.org/10.1016/S2589-7500(22)00025-5

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