Optimizing acute stroke outcome prediction models: Comparison of generalized regression neural networks and logistic regressions.

Journal: PloS one
Published Date: May 11, 2022

Abstract

BACKGROUND: Generalized regression neural network (GRNN) and logistic regression (LR) are extensively used in the medical field; however, the better model for predicting stroke outcome has not been established. The primary goal of this study was to compare the accuracies of GRNN and LR models to identify the most optimal model for the prediction of acute stroke outcome, as well as explore useful biomarkers for predicting the prognosis of acute stroke patients.

Authors

  • Sheng Qu
    Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University Health Science Centre, Shenzhen, China.
  • Mingchao Zhou
    Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University Health Science Centre, Shenzhen, China.
  • Shengxiu Jiao
    Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong, China.
  • Zeyu Zhang
    Department of Rehabilitation Medicine, The First Affiliated Hospital of Shenzhen University, The Second People's Hospital of Shenzhen, Shenzhen, Guangdong, China.
  • Kaiwen Xue
    Department of Rehabilitation Medicine, The First Affiliated Hospital of Shenzhen University, The Second People's Hospital of Shenzhen, Shenzhen, Guangdong, China.
  • Jianjun Long
    Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University Health Science Centre, Shenzhen, China.
  • Fubing Zha
    Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University Health Science Centre, Shenzhen, China.
  • Yuan Chen
    Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032.
  • Jiehui Li
    School of Rehabilitation Sciences, The Shandong University of Traditional Chinese Medicine, Shandong, China.
  • Qingqing Yang
    School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun West Road, Zibo 255049, China.
  • Yulong Wang
    Department of Rehabilitation Medicine, The First Affiliated Hospital of Shenzhen University, The Second People's Hospital of Shenzhen, Shenzhen, Guangdong, China.

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