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Risk Assessment for Personalized Health Insurance Based on Real-World Data

Authors :
Aristodemos Pnevmatikakis
Stathis Kanavos
George Matikas
Konstantina Kostopoulou
Alfredo Cesario
Sofoklis Kyriazakos
Source :
Risks, Vol 9, Iss 3, p 46 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

The way one leads their life is considered an important factor in health. In this paper we propose a system to provide risk assessment based on behavior for the health insurance sector. To do so we built a platform to collect real-world data that enumerate different aspects of behavior, and a simulator to augment actual data with synthetic. Using the data, we built classifiers to predict variations in important quantities for the lifestyle of a person. We offer a risk assessment service to the health insurance professionals by manipulating the classifier predictions in the long-term. We also address virtual coaching by using explainable Artificial Intelligence (AI) techniques on the classifier itself to gain insights on the advice to be offered to insurance customers.

Details

Language :
English
ISSN :
22279091
Volume :
9
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Risks
Publication Type :
Academic Journal
Accession number :
edsdoj.f6b2157bdb34dca916afff49507a97d
Document Type :
article
Full Text :
https://doi.org/10.3390/risks9030046