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
We developed and validated an interpretable RF-based prognostic model for NMDAR encephalitis. The web-deployed tool enables real-time risk stratification, facilitating clinical decision-making and personalized therapeutic interventions for clinicians.
Authors
- Y Wang (ORCID: https://orcid.org/0009-0005-2704-0840)
- Haotian Wu (ORCID: https://orcid.org/0000-0001-5687-1452)
- Jian Gu
- Jia Wang (ORCID: https://orcid.org/0000-0003-3503-0317)
- HANQIN CAI
Institutions
- Sun Yat-sen University (CN)
- Third Affiliated Hospital of Sun Yat-sen University (CN)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-09-22
- DOI
- https://doi.org/10.2196/75020
- Primary Topic
- Autoimmune Neurological Disorders and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00