Published on in Vol 21, No 1 (2019): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9818, first published .
Server-Focused Security Assessment of Mobile Health Apps for Popular Mobile Platforms

Server-Focused Security Assessment of Mobile Health Apps for Popular Mobile Platforms

Server-Focused Security Assessment of Mobile Health Apps for Popular Mobile Platforms

Journals

  1. Fernandez-Luque L, Labarta J, Palmer E, Koledova E. Content Analysis of Apps for Growth Monitoring and Growth Hormone Treatment: Systematic Search in the Android App Store. JMIR mHealth and uHealth 2020;8(2):e16208 View
  2. Gaia J, Wang X, Yoo C, Sanders G. Good News and Bad News About Incentives to Violate the Health Insurance Portability and Accountability Act (HIPAA): Scenario-Based Questionnaire Study. JMIR Medical Informatics 2020;8(7):e15880 View
  3. Nurgalieva L, O'Callaghan D, Doherty G. Security and Privacy of mHealth Applications: A Scoping Review. IEEE Access 2020;8:104247 View
  4. Grundy Q, Chiu K, Held F, Continella A, Bero L, Holz R. Data sharing practices of medicines related apps and the mobile ecosystem: traffic, content, and network analysis. BMJ 2019:l920 View
  5. Ijaz M, Attique M, Son Y. Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods. Sensors 2020;20(10):2809 View
  6. Butler S, Sculley D, Santos D, Fellas A, Gironès X, Singh-Grewal D, Coda A. Usability of eHealth and Mobile Health Interventions by Young People Living With Juvenile Idiopathic Arthritis: Systematic Review. JMIR Pediatrics and Parenting 2020;3(2):e15833 View
  7. Anyanwu E, Ward R, Shah A, Arora V, Umscheid C. A Mobile App to Facilitate Socially Distanced Hospital Communication During COVID-19: Implementation Experience. JMIR mHealth and uHealth 2021;9(2):e24452 View
  8. Liu J, Goetz J, Sen S, Tewari A. Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data. JMIR mHealth and uHealth 2021;9(3):e23728 View
  9. Gimpel H, Manner-Romberg T, Schmied F, Winkler T. Understanding the evaluation of mHealth app features based on a cross-country Kano analysis. Electronic Markets 2021;31(4):765 View
  10. Cestari V, Florêncio R, Garces T, Pessoa V, Moreira T. Benchmarking of mobile apps on heart failure. Revista Brasileira de Enfermagem 2022;75(1) View
  11. Rezaee R, Khashayar M, Saeedinezhad S, Nasiri M, Zare S. Critical Criteria and Countermeasures for Mobile Health Developers to Ensure Mobile Health Privacy and Security: Mixed Methods Study. JMIR mHealth and uHealth 2023;11:e39055 View
  12. Alzahrani A, Gay V, Alturki R, AlGhamdi M, Dogra A. Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications. Journal of Healthcare Engineering 2021;2021:1 View
  13. Abdullahi Yari I, Dehling T, Kluge F, Geck J, Sunyaev A, Eskofier B. Security Engineering of Patient-Centered Health Care Information Systems in Peer-to-Peer Environments: Systematic Review. Journal of Medical Internet Research 2021;23(11):e24460 View
  14. Rajput A, Masood I, Tabassam A, Aslam M, ShaoYu Z, Rajput M. Patient’s data privacy and security in mHealth applications: a Charles proxy-based recommendation. Soft Computing 2023;27(23):18165 View

Books/Policy Documents

  1. Surani A, Bawaked A, Wheeler M, Kelsey B, Roberts N, Vincent D, Das S. Data and Applications Security and Privacy XXXVII. View
  2. Sharma D, Habibi Lashkari A, Parizadeh M. Understanding Cybersecurity Management in Healthcare. View