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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12776, first published .
Developing a Physical Activity Ontology to Support the Interoperability of Physical Activity Data

Developing a Physical Activity Ontology to Support the Interoperability of Physical Activity Data

Developing a Physical Activity Ontology to Support the Interoperability of Physical Activity Data

Authors of this article:

Hyeoneui Kim1 Author Orcid Image ;   Jessica Mentzer2 Author Orcid Image ;   Ricky Taira3 Author Orcid Image

Journals

  1. Chatterjee A, Prinz A, Gerdes M, Martinez S. An Automatic Ontology-Based Approach to Support Logical Representation of Observable and Measurable Data for Healthy Lifestyle Management: Proof-of-Concept Study. Journal of Medical Internet Research 2021;23(4):e24656 View
  2. Ivașcu T, Negru V. Activity-Aware Vital Sign Monitoring Based on a Multi-Agent Architecture. Sensors 2021;21(12):4181 View
  3. Pérez-Pérez M, Igrejas G, Fdez-Riverola F, Lourenço A. A framework to extract biomedical knowledge from gluten-related tweets: The case of dietary concerns in digital era. Artificial Intelligence in Medicine 2021;118:102131 View
  4. Mastropietro A, Palumbo F, Orte S, Girolami M, Furfari F, Baronti P, Candea C, Roecke C, Tarro L, Sykora M, Porcelli S, Rizzo G. A multi-domain ontology on healthy ageing for the characterization of older adults status and behaviour. Journal of Ambient Intelligence and Humanized Computing 2023;14(7):8725 View
  5. Braun M, Carlier S, De Backere F, De Paepe A, Van De Velde M, Van Dyck D, Marques M, De Turck F, Crombez G. Content and quality of physical activity ontologies: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
  6. Chatterjee A, Prinz A. Personalized Recommendations for Physical Activity e-Coaching (OntoRecoModel): Ontological Modeling. JMIR Medical Informatics 2022;10(6):e33847 View
  7. Schroé H, Carlier S, Van Dyck D, De Backere F, Crombez G. Towards more personalized digital health interventions: a clustering method of action and coping plans to promote physical activity. BMC Public Health 2022;22(1) View
  8. Allocca C, Jilali S, Ail R, Lee J, Kim B, Antonini A, Motta E, Schellong J, Stieler L, Haleem M, Georga E, Pecchia L, Gaeta E, Fico G. Toward a Symbolic AI Approach to the WHO/ACSM Physical Activity & Sedentary Behavior Guidelines. Applied Sciences 2022;12(4):1776 View
  9. Braun M, Schroé H, Van Dyck D, Crombez G, De Paepe A. The relationship of affective and bodily states with goals and plans to increase physical activity: An 8‐day study in students. Applied Psychology: Health and Well-Being 2024;16(1):273 View
  10. Dang Y, Li F, Hu X, Keloth V, Zhang M, Fu S, Amith M, Fan J, Du J, Yu E, Liu H, Jiang X, Xu H, Tao C. Systematic design and data-driven evaluation of social determinants of health ontology (SDoHO). Journal of the American Medical Informatics Association 2023;30(9):1465 View
  11. Dragoni M, Bailoni T, Donadello I, Martin J, Lindgren H. Integrating Functional Status Information into Knowledge Graphs to Support Self-Health Management. Data Intelligence 2023;5(3):636 View
  12. Wingood M, Vincenzo J, Gell N. Electronic health record data extraction: Physical therapists’ documentation of physical activity assessments and prescriptions for patients with chronic low back pain. Physiotherapy Theory and Practice 2024;40(11):2540 View
  13. Schenk P, West R, Castro O, Hayes E, Hastings J, Johnston M, Marques M, Corker E, Wright A, Stuart G, Zhang L, Santilli M, Michie S. An ontological framework for organising and describing behaviours: The Human Behaviour Ontology. Wellcome Open Research 2024;9:237 View

Books/Policy Documents

  1. Liu X, Shen B. Translational Informatics. View
  2. Patton E, Van Woensel W, Seneviratne O, Loseto G, Scioscia F, Kagal L. The Semantic Web – ISWC 2021. View