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

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

Abstract 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...

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Bibliographic Details
Main Authors: Divneet Mandair, Premanand Tiwari, Steven Simon, Kathryn L. Colborn, Michael A. Rosenberg
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Myocardial infarction
Machine learning
Electronic health records
Online Access:http://link.springer.com/article/10.1186/s12911-020-01268-x

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http://link.springer.com/article/10.1186/s12911-020-01268-x

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