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

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

BackgroundMany 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 i...

Full description

Bibliographic Details
Main Authors: Steven Simon, Divneet Mandair, Abdel Albakri, Alison Fohner, Noah Simon, Leslie Lange, Mary Biggs, Kenneth Mukamal, Bruce Psaty, Michael Rosenberg
Format: Article
Language:English
Published: JMIR Publications 2022-11-01
Series:JMIR Cardio
Online Access:https://cardio.jmir.org/2022/2/e38040

Internet

https://cardio.jmir.org/2022/2/e38040

Similar Items