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

Secondary Use of Clinical Data for Research and Surveillance (241) Ontologies, Classifications, and Coding (151) Decision Support for Health Professionals (671) Tools, Programs and Algorithms (171) Machine Learning (923)

Published on in Vol 10, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41342, first published .
Training a Deep Contextualized Language Model for International Classification of Diseases, 10th Revision Classification via Federated Learning: Model Development and Validation Study

Training a Deep Contextualized Language Model for International Classification of Diseases, 10th Revision Classification via Federated Learning: Model Development and Validation Study

Training a Deep Contextualized Language Model for International Classification of Diseases, 10th Revision Classification via Federated Learning: Model Development and Validation Study

Authors of this article:

Pei-Fu Chen 1, 2 Author Orcid Image ;   Tai-Liang He 3 Author Orcid Image ;   Sheng-Che Lin 3 Author Orcid Image ;   Yuan-Chia Chu 4, 5, 6 Author Orcid Image ;   Chen-Tsung Kuo 4, 5, 6 Author Orcid Image ;   Feipei Lai 1, 3, 7 Author Orcid Image ;   Ssu-Ming Wang 1 Author Orcid Image ;   Wan-Xuan Zhu 8 Author Orcid Image ;   Kuan-Chih Chen 1, 9 Author Orcid Image ;   Lu-Cheng Kuo 10 Author Orcid Image ;   Fang-Ming Hung 11, 12 Author Orcid Image ;   Yu-Cheng Lin 13, 14 Author Orcid Image ;   I-Chang Tsai 15 Author Orcid Image ;   Chi-Hao Chiu 16 Author Orcid Image ;   Shu-Chih Chang 17 Author Orcid Image ;   Chi-Yu Yang 18, 19 Author Orcid Image
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