Learning Patient Representations from Electronic Health Records across Diverse Data Types

Published in American Medical Informatics Association Symposium, 2020, 2020

Recommended citation: Timothy Miller, Dmitriy Dligach, Fei Wang, and Yuqi Si. 2020. Learning Patient Representations from Electronic Health Records across Diverse Data Types. In American Medical Informatics Association Symposium, 2020.

Abstract:

Learning Patient Representations from Electronic Health Records across Diverse Data Types - Loyola University Chicago Research Portal Skip to main navigation Skip to search Skip to main content Loyola University Chicago Research Portal Home Loyola University Chicago Research Portal Logo Search content at Loyola University Chicago Research Portal Home Profiles Research units Research output Datasets Projects Activities Prizes Press/Media Courses Learning Patient Representations from Electronic Health Records across Diverse Data Types Timothy Miller , Dmitriy Dligach , Fei Wang , Yuqi Si Department of Computer Science Harvard Medical School Boston Children’s Hospital Harvard University Loyola University of Chicago Research output: Contribution to conference › Presentation Overview Original language American English State Published - Nov 2020 Event American Medical Informatics …