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Risk Assessment for Personalized Health Insurance Based on Real-World Data
- 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.
- Subjects :
- machine learning
classification
explainable AI
risk assessment
Insurance
HG8011-9999
Subjects
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