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

Digital Health Reviews (1885) Clinical Informatics (1512) Big Data (320) Electronic Health Records (1434) Machine Learning (2329) Artificial Intelligence (2482)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48320, first published .
Doctor using laptop with digital health icons, representing healthcare technology and innovation.

The Use of Deep Learning and Machine Learning on Longitudinal Electronic Health Records for the Early Detection and Prevention of Diseases: Scoping Review

The Use of Deep Learning and Machine Learning on Longitudinal Electronic Health Records for the Early Detection and Prevention of Diseases: Scoping Review

Authors of this article:

Laura Swinckels1, 2, 3, 4 Author Orcid Image ;   Frank C Bennis5, 6, 7 Author Orcid Image ;   Kirsten A Ziesemer8 Author Orcid Image ;   Janneke F M Scheerman2, 3 Author Orcid Image ;   Harmen Bijwaard3 Author Orcid Image ;   Ander de Keijzer4, 9 Author Orcid Image ;   Josef Jan Bruers1, 10 Author Orcid Image
Article Authors Cited by (52) Tweetations (4) Metrics

Laura Swinckels   1, 2, 3, 4 , MSc ;   Frank C Bennis   5, 6, 7 , PhD ;   Kirsten A Ziesemer   8 , MSc ;   Janneke F M Scheerman   2, 3 , PhD ;   Harmen Bijwaard   3 , PhD ;   Ander de Keijzer   4, 9 , PhD ;   Josef Jan Bruers   1, 10 , PhD

1 Department of Oral Public Health, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit, Amsterdam, The Netherlands

2 Department Oral Hygiene, Cluster Health, Sports and Welfare, Inholland University of Applied Sciences, Amsterdam, The Netherlands

3 Medical Technology Research Group, Cluster Health, Sport and Welfare, Inholland University of Applied Sciences, Haarlem, The Netherlands

4 Data Driven Smart Society Research Group, Faculty of Engineering, Design & Computing, Inholland University of Applied Sciences, Alkmaar, The Netherlands

5 Quantitative Data Analytics Group, Department of Computer Science, Vrije Universiteit, Amsterdam, The Netherlands

6 Department of Pediatrics, Emma Neuroscience Group, Emma Children's Hospital, Amsterdam UMC, Amsterdam, The Netherlands

7 Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands

8 Medical Library, University Library, Vrije Universiteit, Amsterdam, The Netherlands

9 Applied Responsible Artificial Intelligence, Avans University of Applied Sciences, Breda, The Netherlands

10 Royal Dutch Dental Association (KNMT), Utrecht, The Netherlands

Corresponding Author:

  • Laura Swinckels, MSc
  • Department of Oral Public Health
  • Academic Centre for Dentistry Amsterdam (ACTA)
  • University of Amsterdam and Vrije Universiteit
  • Gustav Mahlerlaan 3004
  • Amsterdam 1081 LA
  • The Netherlands
  • Phone: 31 205980308
  • Email: L.Swinckels@acta.nl