PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.
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Prediction of Future Chronic Opioid Use Among Hospitalized Patients.Landmark Models for Optimizing the Use of Repeated Measurements of Risk Factors in Electronic Health Records to Predict Future Disease Risk.A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data.Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining
P2860
PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.
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2016 թվականի հունվարին հրատարակված գիտական հոդված
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on January 2016
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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PREDICTIVE MODELING OF HOSPITA ...... NT SINAI HEART FAILURE COHORT.
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PREDICTIVE MODELING OF HOSPITA ...... NT SINAI HEART FAILURE COHORT.
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PREDICTIVE MODELING OF HOSPITA ...... NT SINAI HEART FAILURE COHORT.
@en
PREDICTIVE MODELING OF HOSPITA ...... NT SINAI HEART FAILURE COHORT.
@nl
altLabel
PREDICTIVE MODELING OF HOSPITA ...... UNT SINAI HEART FAILURE COHORT
@en
PREDICTIVE MODELING OF HOSPITA ...... UNT SINAI HEART FAILURE COHORT
@nl
prefLabel
PREDICTIVE MODELING OF HOSPITA ...... NT SINAI HEART FAILURE COHORT.
@en
PREDICTIVE MODELING OF HOSPITA ...... NT SINAI HEART FAILURE COHORT.
@nl
P2093
P2860
P1476
PREDICTIVE MODELING OF HOSPITA ...... UNT SINAI HEART FAILURE COHORT
@en
PREDICTIVE MODELING OF HOSPITA ...... NT SINAI HEART FAILURE COHORT.
@en
P2093
ALAN MOSKOVITZ
ALEXANDRE YAHI
ANDREW KASARSKIS
Alan Moskovitz
Alexandre Yahi
BRUCE DARROW
Bruce Darrow
DAVID L DAVID
DORAN RICKS
David L David
P2860
P304
P356
10.1142/9789813207813_0027
P577
2016-01-01T00:00:00Z
2016-11-22T00:00:00Z