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

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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Bibliographic Details
Main Authors: Seunghyun Lee, Jaeyong Yu, Yuri Kim, Myungjin Kim, Helen Lew
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Journal of Clinical Medicine
Subjects:
graves’ orbitopathy
severity
muscle predominant type
risk prediction
Online Access:https://www.mdpi.com/2077-0383/12/7/2640

Internet

https://www.mdpi.com/2077-0383/12/7/2640

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