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Citing this Article

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Published on 05.04.19 in Vol 21, No 4 (2019): April

This paper is in the following e-collection/theme issue:

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

According to Crossref, the following articles are citing this article (DOI 10.2196/12286):

(note that this is only a small subset of citations)

  1. Cresswell K, Callaghan M, Khan S, Sheikh Z, Mozaffar H, Sheikh A. Investigating the use of data-driven artificial intelligence in computerised decision support systems for health and social care: A systematic review. Health Informatics Journal 2020;:146045821990045
    CrossRef
  2. Dimeglio C, Becouarn G, Topart P, Bodin R, Buisson JC, Ritz P. Weight Loss Trajectories After Bariatric Surgery for Obesity: Mathematical Model and Proof-of-Concept Study. JMIR Medical Informatics 2020;8(3):e13672
    CrossRef
  3. Figueroa CA, DeMasi O, Hernandez-Ramos R, Aguilera A. Who Benefits Most from Adding Technology to Depression Treatment and How? An Analysis of Engagement with a Texting Adjunct for Psychotherapy. Telemedicine and e-Health 2020;
    CrossRef
  4. Or CK, Liu K, So MKP, Cheung B, Yam LYC, Tiwari A, Lau YFE, Lau T, Hui PSG, Cheng HC, Tan J, Cheung MT. Improving Self-Care in Patients With Coexisting Type 2 Diabetes and Hypertension by Technological Surrogate Nursing: Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(3):e16769
    CrossRef
  5. Triantafyllidis A, Polychronidou E, Alexiadis A, Rocha CL, Oliveira DN, da Silva AS, Freire AL, Macedo C, Sousa IF, Werbet E, Lillo EA, Luengo HG, Ellacuría MT, Votis K, Tzovaras D. Computerized decision support and machine learning applications for the prevention and treatment of childhood obesity: A systematic review of the literature. Artificial Intelligence in Medicine 2020;104:101844
    CrossRef
  6. D'Souza M, Van Munster CEP, Dorn JF, Dorier A, Kamm CP, Steinheimer S, Dahlke F, Uitdehaag BMJ, Kappos L, Johnson M. Autoencoder as a New Method for Maintaining Data Privacy While Analyzing Videos of Patients With Motor Dysfunction: Proof-of-Concept Study. Journal of Medical Internet Research 2020;22(5):e16669
    CrossRef
  7. Dudchenko A, Ganzinger M, Kopanitsa G. Machine Learning Algorithms in Cardiology Domain: A Systematic Review. The Open Bioinformatics Journal 2020;13(1):25
    CrossRef
  8. López Seguí F, Ander Egg Aguilar R, de Maeztu G, García-Altés A, García Cuyàs F, Walsh S, Sagarra Castro M, Vidal-Alaball J. Teleconsultations between Patients and Healthcare Professionals in Primary Care in Catalonia: The Evaluation of Text Classification Algorithms Using Supervised Machine Learning. International Journal of Environmental Research and Public Health 2020;17(3):1093
    CrossRef
  9. Özdemir V. The Big Picture on the “AI Turn” for Digital Health: The Internet of Things and Cyber-Physical Systems. OMICS: A Journal of Integrative Biology 2019;23(6):308
    CrossRef
  10. Martínez-Agüero S, Mora-Jiménez I, Lérida-García J, Álvarez-Rodríguez J, Soguero-Ruiz C. Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit. Entropy 2019;21(6):603
    CrossRef
  11. Triantafyllidis A, Kondylakis H, Votis K, Tzovaras D, Maglaveras N, Rahimi K. Features, outcomes, and challenges in mobile health interventions for patients living with chronic diseases: A review of systematic reviews. International Journal of Medical Informatics 2019;132:103984
    CrossRef