Using genetic algorithms to identify deleterious patterns of physiologic data for near real-time prediction of mortality in critically ill patients

Using genetic algorithms to identify deleterious patterns of physiologic data for near real-time prediction of mortality in critically ill patients

Objective: Contemporary predictive models of mortality for adult critically ill patients are not suitable for use at the bedside. Almost all have been developed and then tested using retrospective, cleansed data, which does not give an accurate assessment of how the models will function under actual...

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Bibliographic Details
Main Author: Andrew A. Kramer
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Critical care
Intensive care units
Mortality prediction
Genetic algorithms
Optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S235291482100229X

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