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

Data Science (270) Ontologies, Classifications, and Coding (239) Big Data (240) Wearable Devices and Sensors (888)

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 Chatterjee1 Author Orcid Image ;   Andreas Prinz1 Author Orcid Image ;   Martin Gerdes1 Author Orcid Image ;   Santiago Martinez2 Author Orcid Image
Article Authors Cited by (26) 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
  10. Chatterjee A, Prinz A, Riegler M, Das J. A systematic review and knowledge mapping on ICT-based remote and automatic COVID-19 patient monitoring and care. BMC Health Services Research 2023;23(1) View
  11. Chatterjee A, Prinz A, Riegler M, Meena Y. An automatic and personalized recommendation modelling in activity eCoaching with deep learning and ontology. Scientific Reports 2023;13(1) View
  12. Yemson R, Kabir S, Thakker D, Konur S. Ontology Development for Detecting Complex Events in Stream Processing: Use Case of Air Quality Monitoring. Computers 2023;12(11):238 View
  13. Chatterjee A, Pahari N, Prinz A, Riegler M. AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach. BMC Medical Informatics and Decision Making 2023;23(1) View
  14. Monteiro E, Righi R, Rigo S, Barbosa J, Da Silva L, Larentis A. Ontology for pervasive traceability of agrochemicals. Ontology of Designing 2023;13(2):217 View
  15. Chatterjee A, Gerdes M, Prinz A, Riegler M, Martinez S. Semantic representation and comparative analysis of physical activity sensor observations using MOX2-5 sensor in real and synthetic datasets: a proof-of-concept-study. Scientific Reports 2024;14(1) View
  16. 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
  17. Wang Y, Ren X, Gao K, Chen M, Huang Q, Yan S, Zhu Y, Sun X, Chen Y, Ge L, Gu J, Gao F, Hu W, Hong L, Zhao C, Shang H, Jin Y. Ontology of clinical practice guidelines for Integrated Traditional Chinese and Western Medicine. Journal of Evidence-Based Medicine 2024;17(3):604 View
  18. Chatterjee A, Riegler M, Johnson M, Das J, Pahari N, Ramachandra R, Ghosh B, Saha A, Bajpai R. Exploring online public survey lifestyle datasets with statistical analysis, machine learning and semantic ontology. Scientific Reports 2024;14(1) 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
  3. Dev S, Sharan A. Text Mining Approaches for Biomedical Data. View