Open AccessPredicting Abnormal Laboratory Blood Test Results in the Intensive Care Unit Using Novel Features Based on Information Theory and Historical Conditional Probability: Observational Study
Author(s) -
Camilo E. Valderrama,
Daniel J. Niven,
Henry T. Stelfox,
Joon Lee
Publication year - 2022
Publication title -
jmir medical informatics
Language(s) - English
Resource type - Journals
ISSN - 2291-9694
DOI - 10.2196/35250
Subject(s) - artificial intelligence , computer science , machine learning , statistics , logistic regression , entropy (arrow of time) , intensive care unit , blood test , pre and post test probability , intensive care , data mining , medicine , mathematics , intensive care medicine , physics , quantum mechanics
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom