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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

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  2. Devis L, Catry E, Honore P, Mansour A, Lippi G, Mullier F, Closset M. Interventions to improve appropriateness of laboratory testing in the intensive care unit: a narrative review. Annals of Intensive Care 2024;14(1):9 View
  3. Mo D, Xiong S, Ji T, Zhou Q, Zheng Q. Predicting abnormal C-reactive protein level for improving utilization by deep neural network model. International Journal of Medical Informatics 2025;195:105726 View
  4. Lin Y, Mensah I, Doering M, Shean R, Spies N. Machine learning-based error detection in the clinical laboratory: a critical review. Critical Reviews in Clinical Laboratory Sciences 2025;62(7):535 View