Published on in Vol 7, No 2 (2020): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18508, first published .
Data-Driven Personalization of a Physiotherapy Care Pathway: Case Study of Posture Scanning

Data-Driven Personalization of a Physiotherapy Care Pathway: Case Study of Posture Scanning

Data-Driven Personalization of a Physiotherapy Care Pathway: Case Study of Posture Scanning

Journals

  1. Wang G, Albayrak A, Hogervorst E, van der Cammen T. Know-Me: A Toolkit for Designing Personalised Dementia Care. International Journal of Environmental Research and Public Health 2021;18(11):5662 View
  2. Wang G, Albayrak A, Kortuem G, van der Cammen T. A Digital Platform for Facilitating Personalized Dementia Care in Nursing Homes: Formative Evaluation Study. JMIR Formative Research 2021;5(5):e25705 View
  3. Sharma K, Giannakos M. Sensing technologies and child–computer interaction: Opportunities, challenges and ethical considerations. International Journal of Child-Computer Interaction 2021;30:100331 View
  4. Spanakis M, Xylouri I, Patelarou E, Patelarou A. A Literature Review of High-Tech Physiotherapy Interventions in the Elderly with Neurological Disorders. International Journal of Environmental Research and Public Health 2022;19(15):9233 View
  5. Manić V, Radosavljević M. Application of quantitative methods in analysis of medical treatments with physiotherapy. Odrzivi razvoj 2022;4(1):29 View
  6. Günther F, Schober F, Hunger S, Schellnock J, Derlien S, Schleifenbaum S, Drossel W, Heyde C. Improving Home-Based Scoliosis Therapy: Findings From a Web-Based Survey. JMIR Rehabilitation and Assistive Technologies 2023;10:e46217 View