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Multiple-Disease Risk Predictive Modeling Based on Directed Disease Networks

In: Smart Service Systems, Operations Management, and Analytics

Author

Listed:
  • Tingyan Wang

    (University of Oxford
    Health Care Services Research Centre, Tsinghua University)

  • Robin G. Qiu

    (The Pennsylvania State University)

  • Ming Yu

    (Health Care Services Research Centre, Tsinghua University)

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.

Suggested Citation

  • Tingyan Wang & Robin G. Qiu & Ming Yu, 2020. "Multiple-Disease Risk Predictive Modeling Based on Directed Disease Networks," Springer Proceedings in Business and Economics, in: Hui Yang & Robin Qiu & Weiwei Chen (ed.), Smart Service Systems, Operations Management, and Analytics, pages 229-240, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-30967-1_21
    DOI: 10.1007/978-3-030-30967-1_21
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