Interpretable machine learning model for predicting the prognosis of antibody positive autoimmune encephalitis patients.

Journal: Journal of affective disorders
PMID:

Abstract

OBJECTIVE: The objective was to utilize nine machine learning (ML) methods to predict the prognosis of antibody positive autoimmune encephalitis (AE) patients.

Authors

  • Junshuang Guo
    Neuro-Intensive Care Unit of the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China; Department of Immunology, School of Basic Medical Science, Central South University, Changsha City, Hunan Province, China.
  • Ruirui Dong
    Neuro-Intensive Care Unit of the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
  • Ruike Zhang
    Neuro-Intensive Care Unit of the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
  • Fan Yang
    School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, China.
  • Yating Wang
    Graduate Collaborative Training Base of the First Hospital of Changsha, Hengyang Medical School, University of South China, Hengyang, China.
  • Wang Miao
    Department of Thoracic Surgery, The Third People's Hospital of Zhengzhou, Zhengzhou, China.