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[The risk of acute readmission can be predicted. Former care consumption patterns and certain diagnoses are strongly predictive].
- Source :
-
Lakartidningen [Lakartidningen] 2012 Nov 28-Dec 4; Vol. 109 (48), pp. 2211-5. - Publication Year :
- 2012
- Subjects :
- Age Factors
Aged
Forecasting
Heart Failure epidemiology
Humans
Logistic Models
Models, Statistical
Patient Discharge
Pulmonary Disease, Chronic Obstructive epidemiology
ROC Curve
Risk Assessment
Risk Factors
Sex Factors
Sweden
Emergency Service, Hospital statistics & numerical data
Patient Readmission statistics & numerical data
Subjects
Details
- Language :
- Swedish
- ISSN :
- 0023-7205
- Volume :
- 109
- Issue :
- 48
- Database :
- MEDLINE
- Journal :
- Lakartidningen
- Publication Type :
- Academic Journal
- Accession number :
- 23330527