Predictive modeling and interpretative analysis of risks of instability in patients with Myasthenia Gravis requiring intensive care unit admission

Predictive modeling and interpretative analysis of risks of instability in patients with Myasthenia Gravis requiring intensive care unit admission

Objective: Myasthenia gravis (MG), a low-prevalence autoimmune disorder characterized by clinical heterogeneity and unpredictable disease fluctuations, presents significant risks of acute exacerbations requiring intensive care. These crises contribute substantially to patient morbidity and mortality...

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Bibliographic Details
Main Authors: Chao-Yang Kuo, Emily Chia-Yu Su, Hsu-Ling Yeh, Jiann-Horng Yeh, Hou-Chang Chiu, Chen-Chih Chung
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Heliyon
Subjects:
Artificial intelligence
Extreme gradient boosting
Explainable machine-learning
Intensive care unit
Myasthenia gravis
Prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024171150
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