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

Formative Evaluation of Digital Health Interventions (4904) Web-based and Mobile Health Interventions (5711) Wearable Devices and Sensors (1516) Evaluation and Research Methodology for mHealth (385) Sleep Monitoring, Sleep Quality, Sleep Disorders (331) Prescribable Digital Interventions (Digital Therapeutics) (76)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75358, first published .
Woman sleeping peacefully under a blanket with a digital overlay

Mining Association Rules From a Multimodal Dataset of a Digital Therapeutics Application for Sleep Improvement Through a Healthy Lifestyle: Quantitative Study

Mining Association Rules From a Multimodal Dataset of a Digital Therapeutics Application for Sleep Improvement Through a Healthy Lifestyle: Quantitative Study

Authors of this article:

Luka Biedebach1, 2 Author Orcid Image ;   Katrín Ýr Friðgeirsdóttir3 Author Orcid Image ;   Camilla Carpinelli1 Author Orcid Image ;   Ari Páll Isberg4 Author Orcid Image ;   Halla Helgadóttir4 Author Orcid Image ;   Erna Sif Arnardóttir1, 2, 5 Author Orcid Image ;   Jose M Saavedra2, 3 Author Orcid Image ;   Anna Sigridur Islind1 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Luka Biedebach   1, 2 , PhD ;   Katrín Ýr Friðgeirsdóttir   3 , PhD ;   Camilla Carpinelli   1 , PhD ;   Ari Páll Isberg   4 , MSc ;   Halla Helgadóttir   4 , MSc ;   Erna Sif Arnardóttir   1, 2, 5 , PhD ;   Jose M Saavedra   2, 3 * , PhD ;   Anna Sigridur Islind   1 * , PhD

1 Department of Computer Science, Reykjavík University, Reykjavik, Iceland

2 Reykjavik University Sleep Institute, Reykjavík University, Reykjavik, Iceland

3 Physical Activity, Physical Education, Sport and Health (PAPESH) Research Centre, Department of Sport Science, Reykjavík University, Reykjavik, Iceland

4 Sidekick Health, Reykjavik, Iceland

5 Department of Engineering, Reykjavík University, Reykjavik, Iceland

*these authors contributed equally

Corresponding Author:

  • Luka Biedebach, PhD
  • Department of Computer Science
  • Reykjavík University
  • Menntavegur 1
  • Reykjavik 101
  • Iceland
  • Phone: 354 5996200
  • Email: lukab@ru.is