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

Secondary Use of Clinical Data for Research and Surveillance (317) Ontologies, Classifications, and Coding (223) Decision Support for Health Professionals (1127) Tools, Programs and Algorithms (236) Machine Learning (1370)

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 Chen1, 2 Author Orcid Image ;   Tai-Liang He3 Author Orcid Image ;   Sheng-Che Lin3 Author Orcid Image ;   Yuan-Chia Chu4, 5, 6 Author Orcid Image ;   Chen-Tsung Kuo4, 5, 6 Author Orcid Image ;   Feipei Lai1, 3, 7 Author Orcid Image ;   Ssu-Ming Wang1 Author Orcid Image ;   Wan-Xuan Zhu8 Author Orcid Image ;   Kuan-Chih Chen1, 9 Author Orcid Image ;   Lu-Cheng Kuo10 Author Orcid Image ;   Fang-Ming Hung11, 12 Author Orcid Image ;   Yu-Cheng Lin13, 14 Author Orcid Image ;   I-Chang Tsai15 Author Orcid Image ;   Chi-Hao Chiu16 Author Orcid Image ;   Shu-Chih Chang17 Author Orcid Image ;   Chi-Yu Yang18, 19 Author Orcid Image
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