Early Identification of Patients With Acute Decompensated Heart Failure.

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Early Identification of Patients With Acute Decompensated Heart Failure.

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http://www.wikidata.org/entity/Q45945763

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2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年学术文章

@wuu

2017年学术文章

@zh

2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

@yue

2017年學術文章

@zh-hant

name

Early Identification of Patients With Acute Decompensated Heart Failure.

@en

Early Identification of Patients With Acute Decompensated Heart Failure.

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type

Item

label

Early Identification of Patients With Acute Decompensated Heart Failure.

@en

Early Identification of Patients With Acute Decompensated Heart Failure.

@nl

prefLabel

Early Identification of Patients With Acute Decompensated Heart Failure.

@en

Early Identification of Patients With Acute Decompensated Heart Failure.

@nl

P1476

Early Identification of Patients With Acute Decompensated Heart Failure

@en

P2093

Alex Reyentovich

http://www.w3.org/2001/XMLSchema#string

David Sontag

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Hannah Park

http://www.w3.org/2001/XMLSchema#string

Leora I Horwitz

http://www.w3.org/2001/XMLSchema#string

Saul Blecker

http://www.w3.org/2001/XMLSchema#string

Stuart D Katz

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P2860

2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines

Comparison of Approaches for Heart Failure Case Identification From Electronic Health Record Data.

Hospital strategy uptake and reductions in unplanned readmission rates for patients with heart failure: a prospective study

Desiderata for computable representations of electronic health records-driven phenotype algorithms.

Variability in Implementation of Interventions Aimed at Reducing Readmissions Among Patients With Heart Failure: A Survey of Teaching Hospitals.

Heart failure–associated hospitalizations in the United States.

A review of approaches to identifying patient phenotype cohorts using electronic health records.

An administrative claims measure suitable for profiling hospital performance on the basis of 30-day all-cause readmission rates among patients with heart failure.

Automated identification and predictive tools to help identify high-risk heart failure patients: pilot evaluation.

An Electronic Medical Record Report Improves Identification of Hospitalized Patients With Heart Failure.

P304

357-362

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P31

scholarly article

P356

10.1016/J.CARDFAIL.2017.08.458

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P433

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P478

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P50

G Kuperman

P577

2017-09-05T00:00:00Z

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P698

28887109

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P932

5837903

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