Accessibility settings

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

Machine Learning (3374) Tools, Programs and Algorithms (615) Decision Support for Health Professionals (2390) Electronic Health Records (1808) Advanced Data Analytics in eHealth (386) Ontologies, Classifications, and Coding (477) Nephrology/Renal Disorders (153)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68830, first published .
Doctor's hands typing on a laptop, wearing a white coat.

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 (5) Tweetations Metrics

Journals

  1. Sreenivasan M, Madhavendranath S, Chacko A. Temporal and comorbidity-aware representation of longitudinal patient trajectories from electronic health records. Biomedical Physics & Engineering Express 2026;12(1):015059 View
  2. Tanhaei M. Similarity-augmented variational autoencoder for missing-value imputation in electronic health records: Evaluation on MIMIC-IV and real-world records. Next Research 2026;13:102494 View
  3. Al-Sabaawi A, Hasan B, Al-Araji Z, Hussein M. Deep Feature-based Image Retrieval via CNN and Autoencoder with Grey Wolf Optimized K-means Clustering. Journal of Advances in Information Technology 2026;17(10):1995 View
  4. Xu Z, Li D, Xu Q, Yu A, Chrischilles E, Cowell L, McTigue K, Murugan R, Fuhrman D, Liu M. Early Prediction and Prognosis in Acute Kidney Injury Using a Biomarker-Aware Transformer: Retrospective Multicenter Study. JMIR Medical Informatics 2026;14:e90687 View

Conference Proceedings

  1. Das T, Ghosh S, Mishra M. 2026 International Conference on Recent Advancement in Electrical, Computer and Communication Technologies (IECCT). Convolutional Adversarial Autoencoder Network (CAAN)-based Automated Health Record Retrieval System Using Iris Images View