Development and validation of a machine learning model for prediction of comorbid major depression disorder among narcolepsy type 1.

Journal: Sleep medicine
PMID:

Abstract

BACKGROUND: Major depression disorder (MDD) forms a common psychiatric comorbidity among patients with narcolepsy type 1 (NT1), yet its impact on patients with NT1 is often overlooked by neurologists. Currently, there is a lack of effective methods for accurately predicting MDD in patients with NT1.

Authors

  • Yuanhang Pan
    Department of Neurology, Xijing Hospital, Air Force Medical University, Xi'an, PR China. Electronic address: 569369622@qq.com.
  • Xinbo Zhang
    Department of Neurology, Xijing Hospital, Air Force Medical University, Xi'an, PR China. Electronic address: 582750794@qq.com.
  • Xinyu Wen
    Department of Neurology, Xijing Hospital, Air Force Medical University, Xi'an, PR China. Electronic address: 2895843023@qq.com.
  • Na Yuan
    Department of Neurology, Xijing Hospital, Air Force Medical University, Xi'an, PR China. Electronic address: 376338321@qq.com.
  • Li Guo
    Department of Dental Implantology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China.
  • Yifan Shi
    Department of Mechanical and Materials Engineering, Queen's University, 130 Stuart Street, Kingston, ON K7L 3N6, Canada.
  • Yuanyuan Jia
    Ritsumeikan University, Kyoto, Japan.
  • Yanzhao Guo
    Encerebropathy Department, No.10, Xi'an Hospital of Traditional Chinese Medicine, Xi'an, PR China. Electronic address: gyz750407@163.com.
  • Fengli Hao
    Department of Neurology, Xi'an Daxing Hospital, Xi'an, PR China. Electronic address: hfl8500@163.com.
  • Shuyi Qu
    Department of Neurology, Xijing Hospital, Air Force Medical University, Xi'an, PR China. Electronic address: 491435927@qq.com.
  • Ze Chen
    Department of Neurology, Xijing Hospital, Air Force Medical University, Xi'an, PR China. Electronic address: chenz_e@126.com.
  • Lei Yang
    George Mason University.
  • Xiaoli Wang
    Demonstration Center of Future Product, Beijing Aircraft Technology Research Institute, COMAC, Beijing, China.
  • Yonghong Liu
    State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.