Machine learning in predicting early remission in patients after surgical treatment of acromegaly: a multicenter study.

Journal: Pituitary
PMID:

Abstract

PURPOSE: Accurate prediction of postoperative remission is beneficial for effective patient-physician communication in acromegalic patients. This study aims to train and validate machine learning prediction models for early endocrine remission of acromegalic patients.

Authors

  • Nidan Qiao
    Department of Neurosurgery, Shanghai Medical School, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China.
  • Ming Shen
    Department of Cardiovascular Medicine, The First Hospital of Hebei Medical University, 050000 Shijiazhuang, Hebei, China.
  • Wenqiang He
    Department of Neurosurgery, Shanghai Medical School, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China.
  • Min He
    Department of Endocrinology, Shanghai Medical School, Huashan Hospital, Fudan University, Shanghai, China.
  • Zhaoyun Zhang
    Department of Endocrinology, Shanghai Medical School, Huashan Hospital, Fudan University, Shanghai, China.
  • Hongying Ye
    Department of Endocrinology, Shanghai Medical School, Huashan Hospital, Fudan University, Shanghai, China.
  • Yiming Li
    Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Xuefei Shou
    Department of Neurosurgery, Shanghai Medical School, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China.
  • Shiqi Li
    Department of Neurosurgery, Shanghai Medical School, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China.
  • Changzhen Jiang
    Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China.
  • Yongfei Wang
    Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.
  • Yao Zhao
    School of Environmental Science and Engineering, Shaanxi University of Science and Technology, Xi'an 170021, China.