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462: USING ARTIFICIAL INTELLIGENCE TO PREDICT WHICH PATIENTS ARE NOT GOING TO DETERIORATE.

Authors :
Pessach, Itai
Chen, Ofer
Rosenberg, Ornah
Celniker, Gershon
Lipsky, Ari
Forgacs, Andrea
Lilly, Craig
Edwards, Amanda
Kirk, David
Source :
Critical Care Medicine. 2022 Supplement, Vol. 50, p221-221. 1p.
Publication Year :
2022

Abstract

Relieving providers from the need to actively monitor stable patients may allow enhanced attention to more critical and unstable patients. B Introduction: b Predicting patient stability may sometimes be as challenging as predicting patient deterioration. B Conclusions: b This predictive model was able to identify, with high performance, ICU patients in low risk for significant deterioration, who were unlikely to experience major clinical deterioration or require significant intervention within the 8 hours following the prediction. [Extracted from the article]

Details

Language :
English
ISSN :
00903493
Volume :
50
Database :
Academic Search Index
Journal :
Critical Care Medicine
Publication Type :
Academic Journal
Accession number :
154197167
Full Text :
https://doi.org/10.1097/01.ccm.0000808172.55150.57