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

Data Science (223) Ontologies, Classifications, and Coding (223) Big Data (215) Wearable Devices and Sensors (811)

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 (23) Tweetations (2) Metrics

Ayan Chatterjee   1 , MEng ;   Andreas Prinz   1 , PhD ;   Martin Gerdes   1 , PhD ;   Santiago Martinez   2 , PhD

1 Department of Information and Communication Technologies, Centre for e-Health, University of Agder, Grimstad, Norway

2 Department of Health and Nursing Science, Centre for e-Health, University of Agder, Grimstad, Norway

Corresponding Author:

  • Ayan Chatterjee, MEng
  • Department of Information and Communication Technologies
  • Centre for e-Health
  • University of Agder
  • Jon Lilletuns Vei 9
  • Grimstad, 4879
  • Norway
  • Phone: 47 38141000
  • Email: ayan.chatterjee@uia.no