Machine Learning-Based Modeling for Predicting Hypopituitarism After Cranial Trauma.

Journal: World neurosurgery
Published Date:

Abstract

OBJECTIVE: Traumatic brain injury (TBI) remains a leading cause of disability and death globally, and post-traumatic hypopituitarism (PTHP) is a common complication for which there is a lack of accurate predictive models. This study aimed to develop a machine learning model to assess the risk of hypopituitarism after TBI.

Authors

  • Ai Chen
    Department of Neurosurgery, Nanchuan Hospital, Chongqing Medical University, Chongqing, China.
  • Hua Zhong
    Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
  • Jie Peng
    School of Physical Education, Liupanshui Normal University, Liupanshui, China.
  • Tao Luo
  • Su Jun
    Department of Neurosurgery, Nanchuan Hospital, Chongqing Medical University, Chongqing, China. Electronic address: sujun0724@163.com.

Keywords

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