Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44895, first published .
The Value of Applying Machine Learning in Predicting the Time of Symptom Onset in Stroke Patients: Systematic Review and Meta-Analysis

The Value of Applying Machine Learning in Predicting the Time of Symptom Onset in Stroke Patients: Systematic Review and Meta-Analysis

The Value of Applying Machine Learning in Predicting the Time of Symptom Onset in Stroke Patients: Systematic Review and Meta-Analysis

Jing Feng   1 * , MD ;   Qizhi Zhang   1 * , PhD ;   Feng Wu   2 * , PhD ;   Jinxiang Peng   3 * , MD ;   Ziwei Li   4 * , MD ;   Zhuang Chen   5 , MD

1 Department of Neurology, Fifth People’s Hospital of Jinan, Jinan, China

2 Department of Pulmonary Disease and Diabetes Mellitus, Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, China

3 Medical Department, Hubei Enshi College, Enshi, China

4 Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan, China

5 Department of Cardiovascular Medicine, Fifth People’s Hospital of Jinan, Jinan, China

*these authors contributed equally

Corresponding Author:

  • Zhuang Chen, MD
  • Department of Cardiovascular Medicine
  • Fifth People’s Hospital of Jinan
  • 24297 Jingshi Road
  • Huaiyin District
  • Jinan, 250000
  • China
  • Phone: 86 18764026019
  • Email: humourzhuang@163.com