Machine learning for the early prediction of long-term cognitive outcome in autoimmune encephalitis.

Journal: Journal of psychosomatic research
PMID: 39978283

Abstract

BACKGROUND AND OBJECTIVE: Autoimmune encephalitis (AE) is an immune-mediated disease. Some patients experience persistent cognitive deficits despite receiving immunotherapy. We aimed to develop a prediction model for long-term cognitive outcomes in patients with AE.

Authors

  • Yingchi Zhang
    Department of Neurology, Xijing Hospital, Air Force Medical University, Xi'an 710038, Shaanxi Province, China.
  • Xiaodan Shi
    Department of Neurology, Xijing Hospital, Air Force Medical University, Xi'an 710038, Shaanxi Province, China.
  • Zhirong Fan
    Department of Neurology, Xijing Hospital, Air Force Medical University, Xi'an 710038, Shaanxi Province, China.
  • Ewen Tu
    Department of Neurology, The Second Hospital of Hunan Province, Hunan University of Chinese Medicine, Changsha 410007, Hunan Province, China.
  • Dianwei Wu
    Department of Neurology, Xijing Hospital, Air Force Medical University, Xi'an 710038, Shaanxi Province, China.
  • Xiuxiu Leng
    Department of Neurology, Xijing Hospital, Air Force Medical University, Xi'an 710038, Shaanxi Province, China.
  • Ting Wan
    Department of Neurology, Xijing Hospital, Air Force Medical University, Xi'an 710038, Shaanxi Province, China.
  • Xiaomu Wang
    Department of Neurology, Xijing Hospital, Air Force Medical University, Xi'an 710038, Shaanxi Province, China.
  • Xuan Wang
    Baylor Scott & White Health, Dallas, TX, USA.
  • Wei Lu
    Department of Pharmacy, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
  • Fang Du
    Department of Neurology, Xijing Hospital, Air Force Medical University, Xi'an 710038, Shaanxi Province, China. Electronic address: dufang@fmmu.edu.cn.
  • Wen Jiang
    School of Electronics and Information, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, P.R. China.

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