Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data

BACKGROUND: With cardiovascular disease increasing, substantial research has focused on the development of prediction tools. We compare deep learning and machine learning models to a baseline logistic regression using only ‘known’ risk factors in predicting incident myocardial infarction (MI) from h...

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Detalles Bibliográficos
Autores principales: Mandair, Divneet, Tiwari, Premanand, Simon, Steven, Colborn, Kathryn L., Rosenberg, Michael A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532582/
https://www.ncbi.nlm.nih.gov/pubmed/33008368
http://dx.doi.org/10.1186/s12911-020-01268-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532582/
https://www.ncbi.nlm.nih.gov/pubmed/33008368
http://dx.doi.org/10.1186/s12911-020-01268-x

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