This paper is in the following e-collection/theme issue:

Machine Learning (1983) Tools, Programs and Algorithms (362) Electronic Health Records (1274) Decision Support for Health Professionals (1475) Advanced Data Analytics in eHealth (197) Nephrology/Renal Disorders (91) Ontologies, Classifications, and Coding (310)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68830, first published .
Autoencoder-Based Representation Learning for Similar Patients Retrieval From Electronic Health Records: Comparative Study

Autoencoder-Based Representation Learning for Similar Patients Retrieval From Electronic Health Records: Comparative Study

Autoencoder-Based Representation Learning for Similar Patients Retrieval From Electronic Health Records: Comparative Study

Authors of this article:

Deyi Li1 Author Orcid Image ;   Aditi Shukla2 Author Orcid Image ;   Sravani Chandaka3 Author Orcid Image ;   Bradley Taylor4 Author Orcid Image ;   Jie Xu1 Author Orcid Image ;   Mei Liu1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Deyi Li   1 , BS, MS ;   Aditi Shukla   2 ;   Sravani Chandaka   3 , BS, MS ;   Bradley Taylor   4 , BS, MBA ;   Jie Xu   1 , BS, MS, PhD ;   Mei Liu   1 , BS, MS, PhD

1 Department of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, FL, United States

2 Department of Mathematics, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, United States

3 Department of Population Health, University of Kansas Medical Center, Kansas City, KS, United States

4 CTSI Center for Biomedical Informatics, Medical College of Wisconsin, Milwaukee, WI, United States

Corresponding Author:

  • Mei Liu, BS, MS, PhD
  • Department of Health Outcomes & Biomedical Informatics
  • University of Florida
  • 1889 Museum Rd, 7th Floor, Suite 7000, Room 7012
  • Gainesville, FL 32611
  • United States
  • Phone: 1 352-627-9143
  • Email: mei.liu@ufl.edu