Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations

Although guidelines recommend fixed cardiac troponin thresholds for the diagnosis of myocardial infarction, troponin concentrations are influenced by age, sex, comorbidities and time from symptom onset. To improve diagnosis, we developed machine learning models that integrate cardiac troponin concen...

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Detalles Bibliográficos
Autores principales: Doudesis, Dimitrios, Lee, Kuan Ken, Boeddinghaus, Jasper, Bularga, Anda, Ferry, Amy V., Tuck, Chris, Lowry, Matthew T. H., Lopez-Ayala, Pedro, Nestelberger, Thomas, Koechlin, Luca, Bernabeu, Miguel O., Neubeck, Lis, Anand, Atul, Schulz, Karen, Apple, Fred S., Parsonage, William, Greenslade, Jaimi H., Cullen, Louise, Pickering, John W., Than, Martin P., Gray, Alasdair, Mueller, Christian, Mills, Nicholas L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202804/
https://www.ncbi.nlm.nih.gov/pubmed/37169863
http://dx.doi.org/10.1038/s41591-023-02325-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202804/
https://www.ncbi.nlm.nih.gov/pubmed/37169863
http://dx.doi.org/10.1038/s41591-023-02325-4

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