Machine learning model for predicting stroke recurrence in adult stroke patients with moyamoya disease and factors of stroke recurrence.

Journal: Clinical neurology and neurosurgery
PMID: 38733759

Abstract

OBJECT: The aim of this study was at building an effective machine learning model to contribute to the prediction of stroke recurrence in adult stroke patients subjected to moyamoya disease (MMD), while at analyzing the factors for stroke recurrence.

Authors

  • Zhongjun Chen
    Department of Neurology, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, PR China; Department of Neurology, Shangrao people's Hospital, Shangrao, Jiangxi 334000, PR China. Electronic address: docterchen@126.com.
  • Haowen Luo
    Medical Big-Data Center, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, PR China. Electronic address: 370904129@qq.com.
  • Lijun Xu
    School of Mathematics and Computer Science, Panzhihua University, Panzhihua, Sichuan 617000, China.
  • Yingping Yi
    Department of Information, The Second Affiliated Hospital of Nanchang University, Nanchang, China.

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