Updating mortality risk estimation in intensive care units from high-dimensional electronic health records with incomplete data

Updating mortality risk estimation in intensive care units from high-dimensional electronic health records with incomplete data

Abstract Background The risk of mortality in intensive care units (ICUs) is currently addressed by the implementation of scores using admission data. Their performances are satisfactory when complications occur early after admission; however, they may become irrelevant in the case of long hospital s...

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Bibliographic Details
Main Authors: Bertrand Bouvarel, Fabrice Carrat, Nathanael Lapidus
Format: Article
Language:English
Published: BMC 2023-08-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Clinical decision support systems
Electronic health records
Machine learning
Multiple imputation
Neural network
Online Access:https://doi.org/10.1186/s12911-023-02264-7

Internet

https://doi.org/10.1186/s12911-023-02264-7

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