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

Machine Learning (2261) Clinical Informatics (1458) Clinical Information and Decision Making (2105) Decision Support for Health Professionals (1659) Electronic Health Records (1393) Cardiac Risk and Cardiac Risk Calculators (119)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73020, first published .
Predicting 30-Days Hospital Readmission for Patients with Heart Failure Using Electronic Health Record Embeddings: Comparative Evaluation

Predicting 30-Days Hospital Readmission for Patients with Heart Failure Using Electronic Health Record Embeddings: Comparative Evaluation

Predicting 30-Days Hospital Readmission for Patients with Heart Failure Using Electronic Health Record Embeddings: Comparative Evaluation

Authors of this article:

Prabin Shakya1 Author Orcid Image ;   Ayush Khaneja1 Author Orcid Image ;   Kavishwar B Wagholikar1, 2 Author Orcid Image
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Conference Proceedings

  1. Rao M, Manjunath C, Venkatesh D, Vasundhara S. 2026 5th International Conference on Sentiment Analysis and Deep Learning (ICSADL). Longitudinal Risk Prediction of Hospital Readmission in Diabetes Management Using a Temporal Attention-Gated BiLSTM with Focal Loss View