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

Artificial Intelligence (1186) Decision Support for Health Professionals (1127) Machine Learning (1370) Clinical Information and Decision Making (1314) Clinical Informatics (904)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43734, first published .
Explainable Machine Learning Techniques To Predict Amiodarone-Induced Thyroid Dysfunction Risk: Multicenter, Retrospective Study With External Validation

Explainable Machine Learning Techniques To Predict Amiodarone-Induced Thyroid Dysfunction Risk: Multicenter, Retrospective Study With External Validation

Explainable Machine Learning Techniques To Predict Amiodarone-Induced Thyroid Dysfunction Risk: Multicenter, Retrospective Study With External Validation

Authors of this article:

Ya-Ting Lu1 Author Orcid Image ;   Horng-Jiun Chao1 Author Orcid Image ;   Yi-Chun Chiang1, 2 Author Orcid Image ;   Hsiang-Yin Chen1, 2 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

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  3. Olejarz M, Szczepanek-Parulska E, Ruchala M. Lipoprotein alterations in endocrine disorders - a review of the recent developments in the field. Frontiers in Endocrinology 2024;15 View
  4. Qu Z, Wang Y, Guo D, He G, Sui C, Duan Y, Zhang X, Meng H, Lan L, Liu X. Comparison of deep learning models to traditional Cox regression in predicting survival of colon cancer: Based on the SEER database. Journal of Gastroenterology and Hepatology 2024 View