首页|Study Results from University of Claude Bernard Lyon 1 in the Area of Machine Le arning Reported (Machine Learning Based Methods for Ratemaking Health Care Insur ance)
Study Results from University of Claude Bernard Lyon 1 in the Area of Machine Le arning Reported (Machine Learning Based Methods for Ratemaking Health Care Insur ance)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting out of Villeurbanne, France, by NewsRx ed itors, research stated, "In insurance, proposing an accurate premium that is adj usted to the insured risk profile allows companies to better manage their portfo lios and to be more competitive. Machine learning methods have recently been ado pted for various improvements in insurance ratemaking, especially in the automob ile industry." Our news journalists obtained a quote from the research from the University of C laude Bernard Lyon 1, "These models are specifically used to mine potential data information and to build a predictive model for a variable of interest using ex planatory variables. In this paper, we aim to provide a pricing method for ratem aking individual healthcare insurance contracts using machine learning algorithm s that are applied to atunisian healthcare insurance portfolio. We start with a simple Classification and Regression Tree, and we work toward more advanced met hods that are Random Forest, Extreme gradient boosting, Support Vector Regressio n, and Artificial Neural network regression model. The predictive performance of these non-parametric methods is compared with the standard generalized linear m odel."
VilleurbanneFranceEuropeCyborgsE merging TechnologiesMachine LearningUniversity of Claude Bernard Lyon1
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