Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55199, first published .
Mining User Reviews From Hypertension Management Mobile Health Apps to Explore Factors Influencing User Satisfaction and Their Asymmetry: Comparative Study

Mining User Reviews From Hypertension Management Mobile Health Apps to Explore Factors Influencing User Satisfaction and Their Asymmetry: Comparative Study

Mining User Reviews From Hypertension Management Mobile Health Apps to Explore Factors Influencing User Satisfaction and Their Asymmetry: Comparative Study

Journals

  1. He Y, Chen H, Xiang P, Zhao M, Li Y, Liu Y, Wang T, Liang J, Lei J. Establishing an Evaluation Indicator System for User Satisfaction With Hypertension Management Apps: Combining User-Generated Content and Analytic Hierarchy Process. Journal of Medical Internet Research 2024;26:e60773 View
  2. Morenigbade H, Al Jaber T, Gordon N, Eke G, Hasan N. Evaluating and implementing machine learning models for personalised mobile health app recommendations. PLOS ONE 2025;20(3):e0319828 View

Books/Policy Documents

  1. Thapliyal K, Thapliyal M, Thapliyal D. Digitalization and the Transformation of the Healthcare Sector. View