Risk Assessment for Personalized Health Insurance Based on Real-World Data
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 simula...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-03-01
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| Series: | Risks |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9091/9/3/46 |
| _version_ | 1827604614637158400 |
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| author | Aristodemos Pnevmatikakis Stathis Kanavos George Matikas Konstantina Kostopoulou Alfredo Cesario Sofoklis Kyriazakos |
| author_facet | Aristodemos Pnevmatikakis Stathis Kanavos George Matikas Konstantina Kostopoulou Alfredo Cesario Sofoklis Kyriazakos |
| author_sort | Aristodemos Pnevmatikakis |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T06:03:37Z |
| format | Article |
| id | doaj.art-af6b2157bdb34dca916afff49507a97d |
| institution | Directory Open Access Journal |
| issn | 2227-9091 |
| language | English |
| last_indexed | 2024-03-09T06:03:37Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Risks |
| spelling | doaj.art-af6b2157bdb34dca916afff49507a97d2023-12-03T12:06:46ZengMDPI AGRisks2227-90912021-03-01934610.3390/risks9030046Risk Assessment for Personalized Health Insurance Based on Real-World DataAristodemos Pnevmatikakis0Stathis Kanavos1George Matikas2Konstantina Kostopoulou3Alfredo Cesario4Sofoklis Kyriazakos5Innovation Sprint Sprl, Clos Chapelle-aux-Champs 30, 1200 Brussels, BelgiumInnovation Sprint Sprl, Clos Chapelle-aux-Champs 30, 1200 Brussels, BelgiumInnovation Sprint Sprl, Clos Chapelle-aux-Champs 30, 1200 Brussels, BelgiumInnovation Sprint Sprl, Clos Chapelle-aux-Champs 30, 1200 Brussels, BelgiumInnovation Sprint Sprl, Clos Chapelle-aux-Champs 30, 1200 Brussels, BelgiumInnovation Sprint Sprl, Clos Chapelle-aux-Champs 30, 1200 Brussels, BelgiumThe 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.https://www.mdpi.com/2227-9091/9/3/46machine learningclassificationexplainable AIrisk assessment |
| spellingShingle | Aristodemos Pnevmatikakis Stathis Kanavos George Matikas Konstantina Kostopoulou Alfredo Cesario Sofoklis Kyriazakos Risk Assessment for Personalized Health Insurance Based on Real-World Data Risks machine learning classification explainable AI risk assessment |
| title | Risk Assessment for Personalized Health Insurance Based on Real-World Data |
| title_full | Risk Assessment for Personalized Health Insurance Based on Real-World Data |
| title_fullStr | Risk Assessment for Personalized Health Insurance Based on Real-World Data |
| title_full_unstemmed | Risk Assessment for Personalized Health Insurance Based on Real-World Data |
| title_short | Risk Assessment for Personalized Health Insurance Based on Real-World Data |
| title_sort | risk assessment for personalized health insurance based on real world data |
| topic | machine learning classification explainable AI risk assessment |
| url | https://www.mdpi.com/2227-9091/9/3/46 |
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