Prediction of Hematoma Expansion in Intracerebral Hemorrhage in 24 Hours by Machine Learning Algorithm.

Journal: World neurosurgery
Published Date: Feb 22, 2024

Abstract

OBJECTIVE: The significance of noncontrast computer tomography (CT) image markers in predicting hematoma expansion (HE) following intracerebral hemorrhage (ICH) within different time intervals in the initial 24 hours after onset may be uncertain. Hence, our objective was to examine the predictive value of clinical factors and CT image markers for HE within the initial 24 hours using machine learning algorithms.

Authors

  • Chaonan Du
    Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
  • Yan Li
    Interdisciplinary Research Center for Biology and Chemistry, Liaoning Normal University, Dalian, China.
  • Mingfei Yang
    Department of Neurosurgery, Qinghai Provincial People's Hospital, Xining 810007, Qinghai, China.
  • Qingfang Ma
    Department of Neurosurgery, Xuzhou City Centre Hospital, Xuzhou, Jiangsu, China.
  • Sikai Ge
    Department of Mathematics Science, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, China.
  • Chiyuan Ma
    Department of Neurosurgery, Jinling Hospital, Nanjing, China. machiyuan_nju@126.com.

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