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Application of an Interpretable Machine Learning for Estimating Severity of Graves' Orbitopathy Based on Initial Finding.
Lee, Seunghyun; Yu, Jaeyong; Kim, Yuri; Kim, Myungjin; Lew, Helen.
Afiliación
  • Lee S; Department of Ophthalmology, Konyang University, Kim's Eye Hospital, Myung-Gok Eye Research Institute, Seoul 07301, Republic of Korea.
  • Yu J; Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
  • Kim Y; Department of Ophthalmology, Bundang CHA Medical Center, CHA University, Seongnam 13496, Republic of Korea.
  • Kim M; Department of Ophthalmology, Bundang CHA Medical Center, CHA University, Seongnam 13496, Republic of Korea.
  • Lew H; Department of Ophthalmology, Bundang CHA Medical Center, CHA University, Seongnam 13496, Republic of Korea.
J Clin Med ; 12(7)2023 Apr 01.
Article en En | MEDLINE | ID: mdl-37048722
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: J Clin Med Año: 2023 Tipo del documento: Article Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: J Clin Med Año: 2023 Tipo del documento: Article Pais de publicación: Suiza