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
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 , NO

2 Department of Health and Nursing Science , Centre for e-Health , University of Agder , Grimstad , NO

Corresponding Author:

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