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
Article Authors Cited by Tweetations Metrics

Jia Wang   1 * , Dr Med ;   Haotian Wu   2 * , MMed ;   Han Cai   2 , MMed ;   YingXiang Wang   1 , MMed ;   Jian Gu   1 , MMed

1 Department of Gynecology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China

2 Department of Neurology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China

*these authors contributed equally

Corresponding Author:

  • Jian Gu, MMed
  • Department of Gynecology
  • Third Affiliated Hospital of Sun Yat-sen University
  • 600 Tianhe Road, Tianhe District, Guangdong Province
  • Guangzhou
  • China
  • Phone: 86 85252237
  • Email: gujian@mail.sysu.edu.cn