Published on in Vol 10, No 6 (2022): June
![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](https://asset.jmir.pub/assets/2759bcb334c20cbcf4d4625f9199de72.png 480w,https://asset.jmir.pub/assets/2759bcb334c20cbcf4d4625f9199de72.png 960w,https://asset.jmir.pub/assets/2759bcb334c20cbcf4d4625f9199de72.png 1920w,https://asset.jmir.pub/assets/2759bcb334c20cbcf4d4625f9199de72.png 2500w)
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