Application of an Interpretable Machine Learning for Estimating Severity of Graves’ Orbitopathy Based on Initial Finding

(1) Background: We constructed scores for moderate-to-severe and muscle-predominant types of Graves’ orbitopathy (GO) risk prediction based on initial ophthalmic findings. (2) Methods: 400 patients diagnosed with GO and followed up at both endocrinology and ophthalmology clinics with at least 6 mont...

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Detalles Bibliográficos
Autores principales: Lee, Seunghyun, Yu, Jaeyong, Kim, Yuri, Kim, Myungjin, Lew, Helen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095042/
https://www.ncbi.nlm.nih.gov/pubmed/37048722
http://dx.doi.org/10.3390/jcm12072640

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095042/
https://www.ncbi.nlm.nih.gov/pubmed/37048722
http://dx.doi.org/10.3390/jcm12072640

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