Prediction of post-traumatic stress disorder in family members of ICU patients: a machine learning a...
Prediction of post-traumatic stress disorder in family members of ICU patients: a machine learning approach
About this item
Full title
Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
Purpose
Post-traumatic stress disorder (PTSD) can affect family members of patients admitted to the intensive care unit (ICU). Easily accessible patient’s and relative’s information may help develop accurate risk stratification tools to direct relatives at higher risk of PTSD toward appropriate management.
Methods
PTSD was measured 90 days...
Alternative Titles
Full title
Prediction of post-traumatic stress disorder in family members of ICU patients: a machine learning approach
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_hal_primary_oai_HAL_hal_04995402v1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_04995402v1
Other Identifiers
ISSN
0342-4642,1432-1238
E-ISSN
1432-1238
DOI
10.1007/s00134-023-07288-1
