This paper is in the following e-collection/theme issue:

Machine Learning (1973) Clinical Information and Decision Making (1810) Artificial Intelligence (1998) Decision Support for Health Professionals (1471) Tools, Programs and Algorithms (359) Precision Medicine (143) Computer-Aided Diagnosis (225)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75020, first published .
Machine Learning and Shapley Additive Explanations Value Integration for Predicting the Prognostic of Anti-N-Methyl-D-Aspartate Receptor Encephalitis: Model Development and Evaluation Study

Machine Learning and Shapley Additive Explanations Value Integration for Predicting the Prognostic of Anti-N-Methyl-D-Aspartate Receptor Encephalitis: Model Development and Evaluation Study

Machine Learning and Shapley Additive Explanations Value Integration for Predicting the Prognostic of Anti-N-Methyl-D-Aspartate Receptor Encephalitis: Model Development and Evaluation Study

Authors of this article:

Jia Wang1 Author Orcid Image ;   Haotian Wu2 Author Orcid Image ;   Han Cai2 Author Orcid Image ;   YingXiang Wang1 Author Orcid Image ;   Jian Gu1 Author Orcid Image
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