An intelligent decision support system for readmission prediction in healthcare

Eigner I, Bodendorf F (2018)

Publication Language: English

Publication Type: Journal article, Online publication

Publication year: 2018

Journal

it - Information Technology Gesellschaft für Informatik

Book Volume: 60

Pages Range: 195–205

Article Number: 2196-7032

Journal Issue: 4

DOI: 10.1515/itit-2018-0003

Abstract

Readmission prediction in hospitals is a highly complex task involving multiple risk factors that can vary among different disease groups. We address this issue by implementing multiple cross-validated classification models within an intelligent CDSS to enhance patient discharge management. Depending on the diagnosis, the system selects and applies the appropriate model and visualises the prediction results. In addition, the cost and reimbursement development for each episode are determined. The architecture of the CDSS and the integration of the prediction models are presented in this paper.

Authors with CRIS profile

Isabella Eigner Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich Freimut Bodendorf Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich

How to cite

APA:

Eigner, I., & Bodendorf, F. (2018). An intelligent decision support system for readmission prediction in healthcare. it - Information Technology, 60(4), 195–205. https://dx.doi.org/10.1515/itit-2018-0003

MLA:

Eigner, Isabella, and Freimut Bodendorf. "An intelligent decision support system for readmission prediction in healthcare." it - Information Technology 60.4 (2018): 195–205.

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