Short-term outcome prediction for myasthenia gravis: an explainable machine learning model

Short-term outcome prediction for myasthenia gravis: an explainable machine learning model

Background: Myasthenia gravis (MG) is an autoimmune disease characterized by muscle weakness and fatigability. The fluctuating nature of the disease course impedes the clinical management. Objective: The purpose of the study was to establish and validate a machine learning (ML)–based model for predi...

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Bibliographic Details
Main Authors: Huahua Zhong, Zhe Ruan, Chong Yan, Zhiguo Lv, Xueying Zheng, Li-Ying Goh, Jianying Xi, Jie Song, Lijun Luo, Lan Chu, Song Tan, Chao Zhang, Bitao Bu, Yuwei Da, Ruisheng Duan, Huan Yang, Sushan Luo, Ting Chang, Chongbo Zhao
Format: Article
Language:English
Published: SAGE Publishing 2023-02-01
Series:Therapeutic Advances in Neurological Disorders
Online Access:https://doi.org/10.1177/17562864231154976

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https://doi.org/10.1177/17562864231154976

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