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

Data Science (110) Ontologies, Classifications, and Coding (164) Big Data (169) Wearable Devices and Sensors (657)

Published on in Vol 23 , No 4 (2021) :April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24656, first published .
An Automatic Ontology-Based Approach to Support Logical Representation of Observable and Measurable Data for Healthy Lifestyle Management: Proof-of-Concept Study

An Automatic Ontology-Based Approach to Support Logical Representation of Observable and Measurable Data for Healthy Lifestyle Management: Proof-of-Concept Study

An Automatic Ontology-Based Approach to Support Logical Representation of Observable and Measurable Data for Healthy Lifestyle Management: Proof-of-Concept Study

Authors of this article:

Ayan Chatterjee 1 Author Orcid Image ;   Andreas Prinz 1 Author Orcid Image ;   Martin Gerdes 1 Author Orcid Image ;   Santiago Martinez 2 Author Orcid Image
Article Authors Cited by (14) Tweetations (2) Metrics

Journals

  1. Chatterjee A, Pahari N, Prinz A, Riegler M. Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation. Scientific Reports 2022;12(1) View
  2. Chatterjee A, Gerdes M, Khatiwada P, Prinz A. SFTSDH: Applying Spring Security Framework With TSD-Based OAuth2 to Protect Microservice Architecture APIs. IEEE Access 2022;10:41914 View
  3. Zhang H, Lyu T, Yin P, Bost S, He X, Guo Y, Prosperi M, Hogan W, Bian J. A scoping review of semantic integration of health data and information. International Journal of Medical Informatics 2022;165:104834 View
  4. Chatterjee A, Prinz A, Gerdes M, Martinez S. Digital Interventions on Healthy Lifestyle Management: Systematic Review. Journal of Medical Internet Research 2021;23(11):e26931 View
  5. Kim H, Jung J, Choi J. Developing a Dietary Lifestyle Ontology to Improve the Interoperability of Dietary Data: Proof-of-Concept Study. JMIR Formative Research 2022;6(4):e34962 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. Chatterjee A, Prinz A, Gerdes M, Martinez S, Pahari N, Meena Y. ProHealth eCoach: user-centered design and development of an eCoach app to promote healthy lifestyle with personalized activity recommendations. BMC Health Services Research 2022;22(1) View
  8. Chatterjee A, Prinz A. Applying Spring Security Framework with KeyCloak-Based OAuth2 to Protect Microservice Architecture APIs: A Case Study. Sensors 2022;22(5):1703 View
  9. Chatterjee A, Pahari N, Prinz A. HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study. Sensors 2022;22(10):3756 View

Books/Policy Documents

  1. Gyrard A, Kung A. Semantic Models in IoT and eHealth Applications. View
  2. Carbonaro A. Semantic Models in IoT and eHealth Applications. View