Multiple-Disease Risk Predictive Modeling Based on Directed Disease Networks
Tingyan Wang (),
Robin G. Qiu () and
Ming Yu ()
Additional contact information
Tingyan Wang: University of Oxford
Robin G. Qiu: The Pennsylvania State University
Ming Yu: Health Care Services Research Centre, Tsinghua University
A chapter in Smart Service Systems, Operations Management, and Analytics, 2020, pp 229-240 from Springer
Abstract:
Abstract This paper studies multiple-disease risk predictive modelsPredictive modeling to assess a discharged patient’s future disease risks. We propose a novel framework that combines directed disease networksDirected disease network and recommendation system techniques to substantially enhance the performance of multiple-disease risk predictive modelingPredictive modeling . Firstly, a directed disease networkDirected disease network considering patients’ temporal information is developed. Then based on this directed disease network, we investigate different disease risk score computing approaches. We validate the proposed approaches using a hospital’s dataset. Promisingly, the predictive results can be well referenced by healthcare professionals who provide healthcare guidance for patients ready for discharge.
Keywords: Directed disease network; Predictive modeling; Multiple-disease risk assessment (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-30967-1_21
Ordering information: This item can be ordered from
http://www.springer.com/9783030309671
DOI: 10.1007/978-3-030-30967-1_21
Access Statistics for this chapter
More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().