Machine Learning for the Early Prediction of Delayed Cerebral Ischemia in Patients With Subarachnoid Hemorrhage: Systematic Review and Meta-Analysis.

Journal: Journal of medical Internet research
PMID: 39832368

Abstract

BACKGROUND: Delayed cerebral ischemia (DCI) is a primary contributor to death after subarachnoid hemorrhage (SAH), with significant incidence. Therefore, early determination of the risk of DCI is an urgent need. Machine learning (ML) has received much attention in clinical practice. Recently, some studies have attempted to apply ML models for early noninvasive prediction of DCI. However, systematic evidence for its predictive accuracy is still lacking.

Authors

  • Haofuzi Zhang
    Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • Peng Zou
    Viavi Solutions Inc. (formerly JDSU), Santa Rosa, CA, USA.
  • Peng Luo
    Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, PR China.
  • Xiaofan Jiang
    Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.

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