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Central Signs Predict Antiganglioside Antibodies in Guillain–Barré Syndrome: A Machine Learning-Based Analysis

2025-08-20

Abstract excerpt

<title>Abstract</title> <p>Objective To investigate the association between central nervous system (CNS) signs and antiganglioside antibody profiles in patients with Guillain–Barré syndrome (GBS), and to evaluate the predictive value of clinical features for GM2 antibody positivity using logistic regression and machine learning models. Methods A total of 200 patients with GBS were retrospectively analyzed. Clinic...

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Literature Corpus work
7f4930ba-00a3-50fc-a26b-03e5760bd738
DOI
10.21203/rs.3.rs-6546968/v1
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Central Signs Predict Antiganglioside Antibodies in Guillain–Barré Syndrome: A Machine Learning-Based AnalysisDOI 10.21203/rs.3.rs-6546968/v1
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