Multimorbidity states associated with higher mortality rates in organ dysfunction and sepsis: a data-driven analysis in critical care

Multimorbidity states associated with higher mortality rates in organ dysfunction and sepsis: a data-driven analysis in critical care

Abstract Background Sepsis remains a complex medical problem and a major challenge in healthcare. Diagnostics and outcome predictions are focused on physiological parameters with less consideration given to patients’ medical background. Given the aging population, not only are diseases becoming incr...

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Bibliographic Details
Main Authors: Zsolt Zador, Alexander Landry, Michael D. Cusimano, Nophar Geifman
Format: Article
Language:English
Published: BMC 2019-07-01
Series:Critical Care
Subjects:
Sepsis
Multimorbidity
Data analytics
Machine learning
Latent class analysis
Online Access:http://link.springer.com/article/10.1186/s13054-019-2486-6

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http://link.springer.com/article/10.1186/s13054-019-2486-6

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