Home
About
Overview
Sharing Data
ORCID
Help
History (1)
Length of stay predictions: improvements through the use of automated laboratory and comorbidity variables.
See All Pages
Find People
Find Everything
Login
to edit your profile (add a photo, awards, links to other websites, etc.)
Edit My Profile
My Person List (
0
)
Return to Top
Length of stay predictions: improvements through the use of automated laboratory and comorbidity variables.
Length of stay predictions: improvements through the use of automated laboratory and comorbidity variables. Med Care. 2010 Aug; 48(8):739-44.
View in:
PubMed
subject areas
California
Clinical Laboratory Information Systems
Comorbidity
Electronic Health Records
Female
Humans
Length of Stay
Linear Models
Logistic Models
Male
Middle Aged
Multi-Institutional Systems
Outcome Assessment (Health Care)
Predictive Value of Tests
Retrospective Studies
Risk Adjustment
Severity of Illness Index
authors with profiles
Michael K. Gould, MD, MS
Vincent Liu, MD, MS