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

Clinical Information and Decision Making (1407) Electronic Health Records (1053) Machine Learning (1465) Natural Language Processing (692) Ontologies, Classifications, and Coding (239)

Published on in Vol 23, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25113, first published .
Disease Concept-Embedding Based on the Self-Supervised Method for Medical Information Extraction from Electronic Health Records and Disease Retrieval: Algorithm Development and Validation Study

Disease Concept-Embedding Based on the Self-Supervised Method for Medical Information Extraction from Electronic Health Records and Disease Retrieval: Algorithm Development and Validation Study

Disease Concept-Embedding Based on the Self-Supervised Method for Medical Information Extraction from Electronic Health Records and Disease Retrieval: Algorithm Development and Validation Study

Authors of this article:

Yen-Pin Chen1, 2, 3 Author Orcid Image ;   Yuan-Hsun Lo4 Author Orcid Image ;   Feipei Lai1 Author Orcid Image ;   Chien-Hua Huang3 Author Orcid Image
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