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A new severity of illness scale using a subset of Acute Physiology And Chronic Health Evaluation data elements shows comparable predictive accuracy.

Abstract:

OBJECTIVES: Severity of illness scores have gained considerable interest for their use in predicting outcomes such as mortality and length of stay. The most sophisticated scoring systems require the collection of numerous physiologic measurements, making their use in real-time difficult. A severity of illness score based on a few parameters that can be captured electronically would be of great benefit. Using a machine-learning technique known as particle swarm optimization, we attempted to r...

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Publication status:
Published

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Journal:
Critical care medicine More from this journal
Volume:
41
Issue:
7
Pages:
1711-1718
Publication date:
2013-07-01
DOI:
EISSN:
1530-0293
ISSN:
0090-3493
Language:
English
Keywords:
Pubs id:
pubs:401880
UUID:
uuid:cb53ecdd-ad47-447a-89b9-709ba1e4857c
Local pid:
pubs:401880
Source identifiers:
401880
Deposit date:
2013-11-17

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