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

Secondary Use of Clinical Data for Research and Surveillance (325) Electronic Health Records (971) Big Data (220) Machine Learning (1400) Public Health (163) Statistical Methods for Surveillance and Population Health (148)

Published on in Vol 10, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35422, first published .
Clustering Diagnoses From 58 Million Patient Visits in Finland Between 2015 and 2018

Clustering Diagnoses From 58 Million Patient Visits in Finland Between 2015 and 2018

Clustering Diagnoses From 58 Million Patient Visits in Finland Between 2015 and 2018

Authors of this article:

Pasi Fränti1 Author Orcid Image ;   Sami Sieranoja1 Author Orcid Image ;   Katja Wikström2, 3 Author Orcid Image ;   Tiina Laatikainen2, 3 Author Orcid Image
Article Authors Cited by (11) Tweetations (5) Metrics

Pasi Fränti   1 , PhD ;   Sami Sieranoja   1 , PhD ;   Katja Wikström   2, 3 , PhD ;   Tiina Laatikainen   2, 3 , PhD

1 Machine Learning Group, School of Computing, University of Eastern Finland, Joensuu, Finland

2 Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland

3 The Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland

Corresponding Author:

  • Sami Sieranoja, PhD
  • Machine Learning Group
  • School of Computing
  • University of Eastern Finland
  • Box 111
  • Joensuu, 80101
  • Finland
  • Phone: 358 405929966
  • Email: samisi@cs.uef.fi