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Decision support for personalized hospital choice using the DEX hierarchical model with SMAA

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Abstract

Despite an ever-growing personalized demand for patients’ hospital choice, little systematic work has examined the decision process that considers the diversity of medical service demand. In this paper, we develop an intelligence decision framework to explore multi-source uncertain information in hospital choice. The framework employs a novel SMAA-DEX method to generate a ranking list of hospital alternatives based on Decision EXpert (DEX) hierarchical model and stochastic multicriteria acceptability analysis (SMAA) in personalized hospital choice. To conduct the multi-source information fusion under uncertainty, the SMAA-DEX method produces the central weight vector considering the ordinal weight and random weight and estimates the holistic acceptability indices for each alternative. By collecting hospital statistics, third-party evaluations and personal patient information in the real world, we verify our method for personalized hospital choice in terms of different preferences such as distance, ranking and income. The results of the experiments demonstrate the effectiveness of the proposed approach, which not only effectively processes various types of hospital choice, but also accomplishes uncertain reasoning of multi-source online information.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos. 91846107, 71571058, 71690235) and the Anhui Provincial Science and Technology Major Project (Grant Nos. 16030801121 and 17030801001).

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Authors and Affiliations

  1. School of Business, Anhui University, Hefei, Anhui, China

    Yi Chen

  2. School of Management, Hefei University of Technology, Hefei, Anhui, China

    Yi Chen, Shuai Ding, Handong Zheng & Shanlin Yang

  3. Key Laboratory of Process Optimization and Intelligent Decision-Making (Ministry of Education), Hefei University of Technology, Hefei, Anhui, China

    Yi Chen, Shuai Ding, Handong Zheng & Shanlin Yang

  4. Institute for Sustainable Industries and Liveable Cities, Victoria University, Melbourne, Australia

    Yanchun Zhang

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  1. Yi Chen
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Chen, Y., Ding, S., Zheng, H. et al. Decision support for personalized hospital choice using the DEX hierarchical model with SMAA. Knowl Inf Syst 62, 3059–3082 (2020). https://doi.org/10.1007/s10115-020-01448-1

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