The Impact of Time Horizon on Classification Accuracy: Application of Machine Learning to Prediction of Incident Coronary Heart Disease

BACKGROUND: Many machine learning approaches are limited to classification of outcomes rather than longitudinal prediction. One strategy to use machine learning in clinical risk prediction is to classify outcomes over a given time horizon. However, it is not well-known how to identify the optimal ti...

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Detalles Bibliográficos
Autores principales: Simon, Steven, Mandair, Divneet, Albakri, Abdel, Fohner, Alison, Simon, Noah, Lange, Leslie, Biggs, Mary, Mukamal, Kenneth, Psaty, Bruce, Rosenberg, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669890/
https://www.ncbi.nlm.nih.gov/pubmed/36322114
http://dx.doi.org/10.2196/38040

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669890/
https://www.ncbi.nlm.nih.gov/pubmed/36322114
http://dx.doi.org/10.2196/38040

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