Published on in Vol 21, No 4 (2019): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12286, first published .
Applications of Machine Learning in Real-Life Digital Health Interventions: Review of the Literature

Applications of Machine Learning in Real-Life Digital Health Interventions: Review of the Literature

Applications of Machine Learning in Real-Life Digital Health Interventions: Review of the Literature

Journals

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  40. Luo G, Stone B, Sheng X, He S, Koebnick C, Nkoy F. Using Computational Methods to Improve Integrated Disease Management for Asthma and Chronic Obstructive Pulmonary Disease: Protocol for a Secondary Analysis. JMIR Research Protocols 2021;10(5):e27065 View
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  113. Ntovoli A, Anifanti M, Koukouvou G, Mitropoulos A, Kouidi E, Alexandris K. The Attitudes of Patients with Cardiovascular Diseases towards Online Exercise with the Mobile Monitoring of Their Health-Related Vital Signs. Sports 2024;12(2):47 View
  114. Ni Y, Lu Y, Jing F, Wang Q, Xie Y, He X, Wu D, Tan R, Tucker J, Yan X, Ong J, Zhang Q, Jiang H, Dai W, Huang L, Mei W, Zhou Y, Tang W. A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in China: Quasi-Experimental Study. JMIR Public Health and Surveillance 2024;10:e50656 View
  115. Sinaci A, Gencturk M, Alvarez-Romero C, Laleci Erturkmen G, Martinez-Garcia A, Escalona-Cuaresma M, Parra-Calderon C. Privacy-preserving federated machine learning on FAIR health data: A real-world application. Computational and Structural Biotechnology Journal 2024;24:136 View
  116. Ciftci R, Secgin Y, Oner Z, Toy S, Oner S. Age Estimation Using Machine Learning Algorithms with Parameters Obtained from X-ray Images of the Calcaneus. Nigerian Journal of Clinical Practice 2024;27(2):209 View
  117. Nadendla H, Etha P, Chowriappa P. Overcoming Confounding Bias in Causal Discovery Using Minimum Redundancy and Maximum Relevancy Constraint. IEEE Access 2024;12:33057 View
  118. Grijalvo M, Ordieres-Meré J, Villalba-Díez J, Aladro-Benito Y, Martín-Ávila G, Simon-Hurtado A, Vivaracho-Pascual C. Sufficiency for PSS tracking gait disorders in multiple sclerosis: A managerial perspective. Heliyon 2024;10(9):e30001 View
  119. Li J, Wang Z, Wang T. Machine-learning prediction of a novel diagnostic model using mitochondria-related genes for patients with bladder cancer. Scientific Reports 2024;14(1) View
  120. Baird A, Xia Y. Precision Digital Health. Business & Information Systems Engineering 2024 View
  121. Tsanas A, Triantafyllidis A, Tsiknakis M. Guest Editorial Pervasive Computing in Healthcare. IEEE Journal of Biomedical and Health Informatics 2024;28(5):2459 View

Books/Policy Documents

  1. Kubassova O, Shaikh F, Melus C, Mahler M. Precision Medicine and Artificial Intelligence. View
  2. Joel L, Doorsamy W, Paul B. Enhanced Telemedicine and e-Health. View
  3. Saini J, Dutta M, Marques G. Internet of Things for Indoor Air Quality Monitoring. View
  4. Kriksciuniene D, Sakalauskas V, Ognjanović I, Šendelj R. Intelligent Systems for Sustainable Person-Centered Healthcare. View
  5. Awotunde J, Chakraborty C, AbdulRaheem M, Jimoh R, Oladipo I, Bhoi A. Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain. View
  6. Sakly H, Said M, Seekins J, Tagina M. Multidisciplinarity and Interdisciplinarity in Health. View
  7. Sulaiman M, Håkansson A, Karlsen R. ICT for Health, Accessibility and Wellbeing. View
  8. Schmitter-Edgecombe M, Luna C, Cook D. Positive Neuropsychology. View
  9. Miller S, Moos W, Munk B, Munk S, Hart C, Spellmeyer D. Managing the Drug Discovery Process. View
  10. Poonam , Batra N. Advanced Network Technologies and Intelligent Computing. View
  11. Erskine J, Fauquet-Alekhine P. The Palgrave Handbook of Occupational Stress. View
  12. Sestino A, D’Angelo A. Personalized Medicine Meets Artificial Intelligence. View