Empirical Analysis of Predictive Models For Insurance Claim Classification

Abstract

In this paper, a framework is proposed to assist in predicting the health insurance claim. Several theories have demonstrated that health insurance claim prediction may be used to estimate the expenses using machine learning algorithms, which a company must incorporate in the early financial budget. Six machine learning models are suggested and analyzed to create the ideal model that will properly forecast claims and lower the cost to the organization.