Paper Title

MEDICAL HEALTH INSURANCE PRICE PREDICTION

Article Identifiers

Registration ID: IJNRD_218712

Published ID: IJNRD2404463

DOI: Click Here to Get

Authors

G AKSHARA REDDY , N LATHA MADHURI

Keywords

Health insurance, Machine Learning, Predictive modeling, Regression analysis, Healthcare expenditure, Cost prediction, Real-time system, Insurance premiums, Data-driven decisions, Healthcare accessibility.

Abstract

The global healthcare landscape faces significant challenges, including rising costs, increased life expectancy, and a shift towards non-communicable diseases. India, in particular, grapples with limited public healthcare expenditure, prompting individuals to rely on costly private healthcare services. As a result, health insurance has become indispensable for managing healthcare expenses. Leveraging the power of Machine Learning (ML) and predictive modeling, this study presents the ML Health Insurance Prediction System (MLHIPS), aimed at aiding insurance companies in accurately predicting insurance costs in real-time. By analyzing past insurance data and customer behavior trends, MLHIPS employs Regression Models, specifically Linear Regression, to forecast insurance premiums. The proposed model showcases promising results, achieving an impressive accuracy of 91%. Through this system, insurance companies can streamline business operations, make data-driven decisions, and develop innovative insurance schemes tailored to individual needs. By providing a rapid and precise determination of insurance premiums, MLHIPS contributes to curbing healthcare expenditure, thereby enhancing accessibility to quality healthcare services. This research underscores the pivotal role of ML in revolutionizing the insurance industry, paving the way for efficient cost prediction and expenditure control in the healthcare sector.

How To Cite (APA)

G AKSHARA REDDY & N LATHA MADHURI (April-2024). MEDICAL HEALTH INSURANCE PRICE PREDICTION. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), e592-e603. https://ijnrd.org/papers/IJNRD2404463.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : e592-e603

Other Publication Details

Paper Reg. ID: IJNRD_218712

Published Paper Id: IJNRD2404463

Downloads: 000121999

Research Area: Engineering

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404463.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404463

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

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Subject Category: Research Area

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