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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
11
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pubmed:dateCreated |
2010-10-26
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pubmed:abstractText |
A real-time electronic predictive model that identifies hospitalized heart failure (HF) patients at high risk for readmission or death may be valuable to clinicians and hospitals who care for these patients.
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pubmed:grant |
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Nov
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pubmed:issn |
1537-1948
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
48
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
981-8
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pubmed:meshHeading |
pubmed-meshheading:20940649-Adult,
pubmed-meshheading:20940649-Aged,
pubmed-meshheading:20940649-Aged, 80 and over,
pubmed-meshheading:20940649-Electronic Health Records,
pubmed-meshheading:20940649-Female,
pubmed-meshheading:20940649-Heart Failure,
pubmed-meshheading:20940649-Humans,
pubmed-meshheading:20940649-Male,
pubmed-meshheading:20940649-Middle Aged,
pubmed-meshheading:20940649-Outcome Assessment (Health Care),
pubmed-meshheading:20940649-Patient Readmission,
pubmed-meshheading:20940649-Predictive Value of Tests,
pubmed-meshheading:20940649-Prognosis,
pubmed-meshheading:20940649-Risk Assessment,
pubmed-meshheading:20940649-Risk Factors,
pubmed-meshheading:20940649-Severity of Illness Index,
pubmed-meshheading:20940649-Socioeconomic Factors,
pubmed-meshheading:20940649-Survival Rate,
pubmed-meshheading:20940649-United States,
pubmed-meshheading:20940649-Urban Population
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pubmed:year |
2010
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pubmed:articleTitle |
An automated model to identify heart failure patients at risk for 30-day readmission or death using electronic medical record data.
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pubmed:affiliation |
Center for Clinical Innovation, Parkland Health and Hospital System, Dallas, TX 75235, USA. ramara@parknet.pmh.org
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't,
Research Support, N.I.H., Extramural
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