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

Machine Learning (3325) Clinical Information and Decision Making (3877) Tools, Programs and Algorithms (605) Decision Support for Health Professionals (2337) Artificial Intelligence (4984) Precision Medicine (454) Computer-Aided Diagnosis (440)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75020, first published .
Doctor points to brain scan on tablet for patient.

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
Article Authors Cited by (2) Tweetations Metrics

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  1. Zhou Y, Xie H, Hu M, Luo G. Precision Nursing Device Management and Artificial Intelligence-Integrated Early Warning Systems for Central Nervous System Infections in the Neurocritical Care Unit: A Scoping Review. Cureus 2026 View
  2. Zou X, Jiang B, Zhang C. Multidimensional EEG mechanisms and explainable prediction of responsiveness to posterior parietal HD-tDCS in chronic disorders of consciousness. Frontiers in Neuroscience 2026;20 View