Developing well-calibrated illness severity scores for decision support in the critically ill.
Health care
Medical research
Prognosis
Journal
NPJ digital medicine
ISSN: 2398-6352
Titre abrégé: NPJ Digit Med
Pays: England
ID NLM: 101731738
Informations de publication
Date de publication:
2019
2019
Historique:
received:
11
12
2018
accepted:
19
07
2019
entrez:
21
8
2019
pubmed:
21
8
2019
medline:
21
8
2019
Statut:
epublish
Résumé
Illness severity scores are regularly employed for quality improvement and benchmarking in the intensive care unit, but poor generalization performance, particularly with respect to probability calibration, has limited their use for decision support. These models tend to perform worse in patients at a high risk for mortality. We hypothesized that a sequential modeling approach wherein an initial regression model assigns risk and all patients deemed
Identifiants
pubmed: 31428687
doi: 10.1038/s41746-019-0153-6
pii: 153
pmc: PMC6695410
doi:
Types de publication
Journal Article
Langues
eng
Pagination
76Déclaration de conflit d'intérêts
Competing interestsO.B. is employed by Philips Healthcare. The other authors declare no competing interests.
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