Predictive modeling of postoperative hyponatremia after pituitary adenoma surgery.

Journal: Clinical neurology and neurosurgery
Published Date:

Abstract

OBJECTIVE: To improve the prediction of postoperative hyponatremia after pituitary surgery by comparing six machine learning (ML) models.

Authors

  • Guoge Li
    Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing, China.
  • Xiaotong Li
    School of Energy and Environment, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong.
  • Yaowei Ding
    Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, China; NMPA Key Laboratory for Quality Control of In Vitro Diagnostics, Beijing, China; Beijing Engineering Research Center of Immunological Reagents Clinical Research, Beijing, China.
  • Jialu Sun
    Department of Nursing, First People's Hospital of Xinxiang and The Fifth Affiliated Hospital of Henan Medical University, Xinxiang 453003, China.
  • Yuxin Chen
    School of Resources and Safety Engineering, Central South University, Changsha, China.
  • Siqi Wang
    School of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, People's Republic of China.
  • Zhijun Yang
    Department of Neurosurgery of Beijing Tiantan Hospital, Capital Medical University, Beijing, China. Electronic address: zhijunyang@ccmu.edu.cn.
  • Guojun Zhang
    The department of Respiratory Medicine of The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China. Electronic address: zlgj-001@126.com.