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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM19126

Health Insurance Amount Prediction using Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM19126

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MSNR

Mogili Siva Naga Raju

NA

Nelapudi Anandavalli

SFAAK

Sayed Farook Ali Abdul Kharem

MS

MR.K. Sanjeevaiah

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Abstract

Insurance is a policy that eliminates or decreases loss costs occurred by various risks. Various factors influence the cost of insurance. These considerations contribute to the insurance policy formulation. Machine learning (ML) for the insurance industry sector can make the wording of insurance policies more efficient. This study demonstrates how different models of regression can forecast insurance costs. And we will compare the results of models, for example, Multiple Linear Regression, Random Forest Regression, Decision tree.

KEYWORDS

Health Insurance Regression ML

Cite This Article

Mogili Siva Naga Raju, Nelapudi Anandavalli, Sayed Farook Ali Abdul Kharem, MR.K. Sanjeevaiah, "Health Insurance Amount Prediction using Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM19126

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Publication Date

4/17/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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