Institut for Forretningsudvikling og Teknologi

Risk assessment for personalized health insurance based on real-world data

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review


  • Aristodemos Pnevmatikakis, Innovation Sprint Sprl
  • ,
  • Stathis Kanavos, Innovation Sprint Sprl
  • ,
  • George Matikas, Innovation Sprint Sprl
  • ,
  • Konstantina Kostopoulou, Innovation Sprint Sprl
  • ,
  • Alfredo Cesario, Innovation Sprint Sprl, Fondazione Policlinico Universitario Agostino Gemelli IRCCS
  • ,
  • Sofoklis Kyriazakos

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.

Antal sider15
StatusUdgivet - mar. 2021

Se relationer på Aarhus Universitet Citationsformater

ID: 215508924