Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73903, first published .
Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study

Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study

Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study

Yun Du   1 , BSc ;   Jun-Ying Fan   1, 2 , MSc ;   Guang-Zhi Liu   1 , BSc ;   Zi-Yue Yang   1 , BSc ;   Yang Lei   3 , PhD ;   Yu-Fang Guo   1 , PhD

1 School of Nursing and Rehabilitation, Shandong University, Jinan, Shandong, China

2 Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China

3 School of Nursing, Nanjing Medical University, Nanjing, China

Corresponding Author:

  • Yu-Fang Guo, PhD
  • School of Nursing and Rehabilitation
  • Shandong University
  • 44 Wen Hua Xi Road
  • Jinan, Shandong 250012
  • China
  • Phone: 86 15269163352
  • Email: cdguoyufang@163.com