Predictive Analytics for Readmission of Patients with Congestive Heart Failure

Indranil Bardhan
Indranil Bardhan
[email protected]
Naveen Jindal School of Management, University of Texas at Dallas, Richardson, Texas 75080
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,
Jeong-ha (Cath) Oh
Jeong-ha (Cath) Oh
[email protected]
J. Mack Robinson College of Business, Georgia State University, Atlanta, Georgia 30302
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Zhiqiang (Eric) Zheng
Zhiqiang (Eric) Zheng
[email protected]
Naveen Jindal School of Management, University of Texas at Dallas, Richardson, Texas 75080
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,
Kirk Kirksey
Kirk Kirksey
[email protected]
University of Texas Southwestern Medical Center, Dallas, Texas 75390
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Indranil Bardhan

[email protected]

Naveen Jindal School of Management, University of Texas at Dallas, Richardson, Texas 75080

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Jeong-ha (Cath) Oh

[email protected]

J. Mack Robinson College of Business, Georgia State University, Atlanta, Georgia 30302

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Zhiqiang (Eric) Zheng

[email protected]

Naveen Jindal School of Management, University of Texas at Dallas, Richardson, Texas 75080

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Kirk Kirksey

[email protected]

University of Texas Southwestern Medical Center, Dallas, Texas 75390

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Published Online:24 Nov 2014https://doi.org/10.1287/isre.2014.0553

Supplemental Material

isre.2014.0553-sm-appendix_online_supplement.pdf (100 KB)

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cover image Information Systems Research

Volume 26, Issue 1

March 2015

Pages 1-241

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Received:October 14, 2011
Published Online:November 24, 2014

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Indranil Bardhan, Jeong-ha (Cath) Oh, Zhiqiang (Eric) Zheng, Kirk Kirksey (2014) Predictive Analytics for Readmission of Patients with Congestive Heart Failure. Information Systems Research 26(1):19-39.

https://doi.org/10.1287/isre.2014.0553

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