Multi-criteria and medical diagnosis for application to health insurance systems: a general approach through non-additive measures

Luca Anzilli () and Silvio Giove ()
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Luca Anzilli: University of Salento
Silvio Giove: University Ca’ Foscari of Venice

Decisions in Economics and Finance, 2020, vol. 43, issue 2, No 9, 559-582

Abstract: Abstract In this contribution, we propose a healthcare decision support system. Nowadays, it is commonly recognized that quantitative tools and decision support can increase the benefits and the performances of healthcare systems, and for this, different multiple criteria methods were proposed in many branches of medicine. The approach we propose is based on non-additive measures and the Choquet integral. This methodology has been intensively applied in many real-world applications, given its capability to represent interactions among criteria, and thus to model a wide range of preference structures. Considering that the diagnosis procedure needs also to take the clinical expertise into account, this method appears particularly tailored for a diagnosis support, mainly when statistical models cannot be applied and/or available data are scarce and knowledge can be inferred by physicians’ opinions. In particular, we propose a disease risk evaluation and compute some associated indicators. Furthermore, an error estimation is performed. As an application, a cardiovascular risk diagnosis model is presented. The proposed methodology, that allows to quantify the disease risk taking into account individual’s medical conditions, can be used for improving healthcare service quality or for pricing and reserving health insurance policies. An application to health insurance pricing is provided.

Keywords: Choquet integral; Similarity; Capacities; Medical decision support system; Cardiovascular disease risk; Health insurance pricing; 91B06; 62C86 (search for similar items in EconPapers)
JEL-codes: C60 D81 I13 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10203-020-00302-x

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