Predicting patient risk of readmission with frailty models in the Department of Veteran Affairs
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Issac Shams, Saeede Ajorlou, Kai Yang
Predicting patient risk of readmission with frailty models in the Department of Veteran Affairs
CASE, 2014.

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@inproceedings{CASE-2014-ShamsAY,
	author        = "Issac Shams and Saeede Ajorlou and Kai Yang",
	booktitle     = "{Proceedings of the 10th International Conference on Automation Science and Engineering}",
	doi           = "10.1109/CoASE.2014.6899384",
	pages         = "576--581",
	publisher     = "{IEEE}",
	title         = "{Predicting patient risk of readmission with frailty models in the Department of Veteran Affairs}",
	year          = 2014,
}

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