Predicting disease onset from electronic health records for population health management: a scalable and explainable Deep Learning approach.
Journal:
Frontiers in artificial intelligence
Published Date:
Jan 8, 2024
Abstract
INTRODUCTION: The move from a reactive model of care which treats conditions when they arise to a proactive model which intervenes early to prevent adverse healthcare events will benefit from advances in the predictive capabilities of Artificial Intelligence and Machine Learning. This paper investigates the ability of a Deep Learning (DL) approach to predict future disease diagnosis from Electronic Health Records (EHR) for the purposes of Population Health Management.
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