Data-derived subtypes of delirium during critical illnessResearch in context

Data-derived subtypes of delirium during critical illnessResearch in context

Summary: Background: To understand delirium heterogeneity, prior work relied on psychomotor symptoms or risk factors to identify subtypes. Data-driven approaches have used machine learning to identify biologically plausible, treatment-responsive subtypes of other acute illnesses but have not been u...

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Bibliographic Details
Main Authors: Kelly M. Potter, Jason N. Kennedy, Chukwudi Onyemekwu, Niall T. Prendergast, Pratik P. Pandharipande, E Wesley Ely, Christopher Seymour, Timothy D. Girard
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:EBioMedicine
Subjects:
Delirium
Subtypes
Heterogeneity
Latent class analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S235239642300508X

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http://www.sciencedirect.com/science/article/pii/S235239642300508X

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