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

Machine Learning (2332) Decision Support for Health Professionals (1715) Electronic Health Records (1438) Intensive Care Unit (ICU) (172)

Published on in Vol 10, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35250, first published .
Medical professional in gloves collecting blood sample on slide for lab testing

Predicting Abnormal Laboratory Blood Test Results in the Intensive Care Unit Using Novel Features Based on Information Theory and Historical Conditional Probability: Observational Study

Predicting Abnormal Laboratory Blood Test Results in the Intensive Care Unit Using Novel Features Based on Information Theory and Historical Conditional Probability: Observational Study

Authors of this article:

Camilo E Valderrama1, 2, 3 Author Orcid Image ;   Daniel J Niven4 Author Orcid Image ;   Henry T Stelfox3, 4 Author Orcid Image ;   Joon Lee1, 2, 3, 5 Author Orcid Image
Article Authors Cited by (4) Tweetations (7) Metrics

Camilo E Valderrama   1, 2, 3 , PhD ;   Daniel J Niven   4 , MD, PhD ;   Henry T Stelfox   3, 4 , MD, PhD ;   Joon Lee   1, 2, 3, 5 , PhD

1 Data Intelligence for Health Lab, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

2 Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

3 O’Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

4 Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

5 Department of Cardiac Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

Corresponding Author:

  • Camilo E Valderrama, PhD
  • Data Intelligence for Health Lab
  • Cumming School of Medicine
  • University of Calgary
  • 3280 Hospital Dr NW
  • Teaching, Research, & Wellness - TRW Building
  • Calgary, AB T2N 4Z6
  • Canada
  • Phone: 1 403 220 8230
  • Email: camilo.valderramacua@ucalgary.ca