Article

Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction

2018-07-11

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Current approaches to predicting Cardiovascular disease rely on conventional risk factors and cross-sectional data. In this study, we asked whether: i) machine learning and deep learning models with longitudinal EHR information can improve the prediction of 10-year CVD risk, and ii) incorporating genetic data can add values to predictability. <h4>Methods</h4> We conducted t...

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Literature Corpus work: 390eea97-7689-5418-9b6c-18e2a0f7fe9f
DOI: 10.1101/366682

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