Predicting chronic pain in postoperative breast cancer patients with multiple machine learning and deep learning models.

Journal: Journal of clinical anesthesia
PMID:

Abstract

No abstract available for this article.

Authors

  • Ying Wang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Yu Zhu
    Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610212, Sichuan, China; Department of Bioinformatics, School of Biology and Basic Medical Sciences, Soochow University, Suzhou 215123, Jiangsu, China.
  • Qiong Xue
    Department of Anesthesiology, Pain, and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Muhuo Ji
    Department of Anesthesiology, Pain, and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Jianhua Tong
    Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Jian-Jun Yang
    School of Medicine, Southeast University, Nanjing, China.
  • Cheng-Mao Zhou
    Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Henan, China. zhouchengmao187@foxmail.com.