HEALTH INSURANCE PREMIUM PREDICTION USING BLOCKCHAIN TECHNOLOGY AND RANDOM FOREST REGRESSION ALGORITHM

Madhumita Ghosh; Ravi Gor

doi:10.29121/ijoest.v6.i3.2022.346

Authors

Ghosh Madhumita Research Scholar, Department of Mathematics, Gujarat University, Ahmedabad-380009
Ravi Gor

DOI:

https://doi.org/10.29121/ijoest.v6.i3.2022.346

Keywords:

Blockchain Technology, Supervised Learning, Uniform Resource Locator, Support Vector Regression, Lasso Regression, Ridge Regression, Multiple Linear Regression, Random Forest Regression, Health Insurance Data

Abstract

Blockchain technology is based on a sequence of blocks, where each block carries a certain amount of information. Medical records can be cryptographically secured in the health insurance ecosystem with blockchain technology. Here, blockchain technology model is used to create a user interface for storing data block wise. Also, Insurance premium is predicted using Support Vector Regression, Lasso Regression, Ridge Regression, Multiple Linear Regression and Random Forest Regression algorithms. Out of all these algorithms, Multiple Linear Regression algorithm gives the better result.

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References

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