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Flow chart of identification of patients with inflammatory ..:

Ryan W. Gan (11457641) ; Diana Sun (11457644) ; Amanda R. Tatro (7347385)...
https://figshare.com/articles/figure/Flow_chart_of_identification_of_patients_with_inflammatory_bowel_disease_IBD_from_the_Optum_electronic_health_records_EHR_database_/16647680. , 2021

Link: https://doi.org/10.1371/journal.pone.0257520.g001

RT Journal
T1 <Title>Flow chart of identification of patients with inflammatory bowel disease (IBD) from the Optum electronic health records (EHR) database</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16647680&Exemplar=1&LAN=DE
				
A1 Ryan W. Gan (11457641)
A1 Diana Sun (11457644)
A1 Amanda R. Tatro (7347385)
A1 Shirley Cohen-Mekelburg (11457647)
A1 Wyndy L. Wiitala (2851283)
A1 Ji Zhu (106734)
A1 Akbar K. Waljee (8792063)
YR 2021
K1 Biotechnology
K1 Immunology
K1 Marine Biology
K1 Infectious Diseases
K1 Biological Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 united states veterans
K1 similar predictive accuracy
K1 replicating prediction algorithms
K1 receiver operating curve
K1 least 12 months
K1 73 &# 8722
K1 68 &# 8722
K1 65 &# 8722
K1 outpatient corticosteroid prescription
K1 81 )
K1 sensitivity
K1 predictors included demographic
K1 nationally representative cohort
K1 modeling framework could
K1 machine learning models
K1 80 &# 8722
K1 72 &# 8722
K1 2 %) patients
K1 logistic regression model
K1 66 )
K1 identify ibd patients
K1 modeling framework
K1 logistic regression
K1 patient demographic
K1 important predictors
K1 corticosteroid use
K1 7 %)
K1 risk patients
K1 ibd patients
K1 xlink ">
K1 validation cohort
K1 validation approach
K1 study aimed
K1 routine practice
K1 rf model
K1 results showed
K1 random forest
K1 previous flares
K1 predominantly white
K1 laboratory data
K1 ibd flare
K1 distinguish high
K1 74 )
JF https://figshare.com/articles/figure/Flow_chart_of_identification_of_patients_with_inflammatory_bowel_disease_IBD_from_the_Optum_electronic_health_records_EHR_database_/16647680
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0257520.g001
DO https://doi.org/10.1371/journal.pone.0257520.g001
SF ELIB - SuUB Bremen

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