An intelligent decision support system for readmission prediction in healthcare

Beitrag in einer Fachzeitschrift
(Online-Publikation)


Details zur Publikation

Autor(en): Eigner I, Bodendorf F
Zeitschrift: it - Information Technology
Jahr der Veröffentlichung: 2018
Band: 60
Heftnummer: 4
Seitenbereich: 195–205
ISSN: 1611-2776
eISSN: 2196-7032
Sprache: Englisch


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.


FAU-Autoren / FAU-Herausgeber

Bodendorf, Freimut Prof. Dr.
Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich
Eigner, Isabella
Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich


Zitierweisen

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.

BibTeX: 

Zuletzt aktualisiert 2018-15-10 um 12:08