INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
"MEDICAL HEALTH INSURANCE PRICE PREDICTION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.e592-e603, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404463.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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