Online physician selection research based on the prospect-regret theory

Shangyuan Xue; Zhiliang Ren

doi:10.1117/12.2692862

23 August 2023 Online physician selection research based on the prospect-regret theory

Shangyuan Xue, Zhiliang Ren

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 1278409 (2023) https://doi.org/10.1117/12.2692862
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

In response to the lack of research on the current online medical platform doctor selection method, a new online doctor selection decision method is proposed based on the prospect-regret theory. Integrating the characteristics of existing online medical platform doctors as well as considering different characteristics of doctors that patients are concerned about, evaluation indexes suitable for online doctor selection are constructed; considering patients' hesitation psychology in the evaluation process, probabilistic language hesitation fuzzy sets are introduced to describe evaluation information; based on prospect-regret theory, which highlights patients' reference point dependence and regret avoidance psychology, doctor evaluation information is analyzed and integrated to obtain each The evaluation results of the options are analyzed and ranked. The applied method is verified to be applicable to online physician selection by example calculations, and the validity and rationality of the method are verified.

Citation Download Citation

Shangyuan Xue and Zhiliang Ren "Online physician selection research based on the prospect-regret theory", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 1278409 (23 August 2023); https://doi.org/10.1117/12.2692862

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