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Patient representation learning from EHR data

Published onJun 08, 2021
Patient representation learning from EHR data
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Abstract

This research is part of a multi-disciplinary project that aims to define polypharmacy usage (the use of a combination of drugs) as well as detect and predict dangerous cases. The particular goal of the research presented herein is to learn patient representations from a massive number of Electronic Health Records (EHR) with the intent to discover sociodemographic biases in the outcomes of polypharmacy usage.

Article ID: 2021G09

Month: May

Year: 2021

Address: Online

Venue: Graduate Student Symposium- Canadian Conference on Artificial Intelligence

Publisher: Canadian Artificial Intelligence Association

URL:https://caiac.pubpub.org/pub/kb9pkh89/

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