Predicting unplanned readmission after myocardial infarction from routinely collected administrative hospital data

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Predicting unplanned readmission after myocardial infarction from routinely collected administrative hospital data

Objective Readmission rates are high following acute myocardial infarction (AMI), but risk stratification has proved difficult because known risk factors are only weakly predictive. In the present study, we applied hospital data to identify the risk of unplanned admission following AMI hospitalisati...

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Bibliographic Details
Main Authors:	Rana, S., Tran, The Truyen, Luo, W., Phung, D., Kennedy, R., Venkatesh, S.
Format:	Journal Article
Published:	CSIRO 2014
Online Access:	http://hdl.handle.net/20.500.11937/18594

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