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

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

Bajaj, P. Ray, R. Shedge, S. Vidhate, S. & Nilkumar. (2020). Sales Prediction using Machine Learning Algorithms. International Research Journal of Engineering and Technology, 7(6). https://d1wqtxts1xzle7.cloudfront.net/64640730/IRJET-V7I6676-with-cover-page-v2.pdf?Expires=1655794147&Signature=G8QC8AWuQh05qCcshyVPeg0afyzLCCHlmG0gsd2Zs-A7GSOMzRefkWIzDvni8tGIMtzJcnvaIHXPlLB0x6hIcDwZniUY1YMjTvE96Y2-A3XD7VW7jkHiOIN7djlM82ITMQo9DtGIKs1hJDS99TIUZ4ObQNmqeANsN80SJ1wc5QUksJwhWcMfxJhlkKlSaVXkWxY~huyUVz~P3dfPnikFrb8mV4KlXdnCyenChG20zd3Fckq7NtctOFNNuszk~cPSrbjJO9bHIxMSPAhXgJMqynR9quOUFMDRGYvTriL~j9yzgXnX0~-8gM4UPKwQY6jUPUofyZJUGunk6wVN-MBxig__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA

Bhavsar, S. & Gor, R. (2022). Predicting Restaurant Ratings using Back Propagation Algorithm. International Organization of Scientific Research Journal of Applied Mathematics (IOSR-JM), 18(2), 5-9. https://iosrjournals.org/iosr-jm/papers/Vol18-issue2/Ser-2/C1802021014.pdf

Biau, G. (2012). Analysis of a Random Forests Model. Journal of Machine Learning Research, 13, 1063-1095. https://www.jmlr.org/papers/volume13/biau12a/biau12a.pdf

D'Costa, L. D'Souza, A. Abhijith, k. & Varghese, D. (2020). Predicting True Value of Used Car using Multiple Linear Regression Model. International Journal of Recent Technology and Engineering, 8(5). https://doi.org/10.35940/ijrte.E1010.0285S20

Dabreo, S. Rodrigues, S. Rodrigues, V. & Shah, P. (2021). Real Estate Price Prediction. International Journal of Engineering Research & Technology, 10(4). https://www.ijert.org/real-estate-price-prediction

David, D. (2020). Random Forest Classifier Tutorial: How to Use Tree-Based Algorithms for Machine Learning. https://www.freecodecamp.org/news/how-to-use-the-tree-based-algorithm-for-machine-learning/

Ghosh, M. & Gor, R. (2022). Short Message Service Classifier Application using Naïve Bayes algorithm (In Press). International Organization of Scientic Research Journal of Computer Engineering (IOSR-JCE).

Gururaj, V. Shriyaand , V. & Ashwini, K. (2019). Stock Market Prediction using Linear Regression and Support Vector Machines. International Journal of Applied Engineering Research, 14, 1931-1934. https://www.ripublication.com/ijaer19/ijaerv14n8_24.pdf

Hanafy, M. (2021). Predict Health Insurance Cost by using Machine Learning and DNN Regression Models. https://www.researchgate.net/publication/348559741_Predict_Health_Insurance_Cost_by_using_Machine_Learning_and_DNN_Regression_Models

KHARWAL, A. (2021). Health Insurance Premium Prediction with Machine Learning. https://thecleverprogrammer.com/2021/10/26/health-insurance-premium-prediction-with-machine-learning/

Kausthub, K. (2021). Commercials Sales Prediction Using Multiple Linear Regression. International Research Journal of Engineering and Technology, 8(3). https://www.researchgate.net/publication/350398584_COMMERCIALS_SALES_PREDICTION_USING_MULTIPLE_LINEAR_REGRESSION

Rohith, R. Vishnu, R. Kishore, A. & Chakkarawarthi, D. (2020). Crop Price Prediction and Forecasting system using Supervised Machine Learning Algorithms. International Journal of Advanced Research in Computer and Communication Engineering, 9(3).

Ronaghan, S. (2018). The Mathematics of Decision Trees, Random Forest and Feature Importance in Scikit-learn and Spark. https://towardsdatascience.com/the-mathematics-of-decision-trees-random-forest-and-feature-importance-in-scikit-learn-and-spark-f2861df67e3#:~:text=The%20sum%20of%20the%20feature's,T%20%3D%20total%20number%20of%20trees

Seely, S. (2018). Eight use cases for machine learning in insurance. https://azure.microsoft.com/id-id/blog/eight-use-cases-for-machine-learning-in-insurance/

Shreyas, R. Akshata, D. Mahanand, B. Shagun, B. & Abhishek, C. (2016). Predicting Popularity of Online Articles using Random Forest Regression. Institute of Electrical and Electronics Engineers, 1-5. https://doi.org/10.1109/CCIP.2016.7802890

Vali, M. Sankeerthana, K. Naveen, B. & Vishal, N. (2020). Prediction of Online Sales using Linear Regression. International Journal of Creative Research Thoughts, 8(2). https://www.ijcrt.org/papers/IJCRT2002169.pdf

Venkatesan, S. Sathishkumar, V. Park, J. Shin, C. & Cho, Y. (2020). A Prediction of Nutrition Water for Strawberry Production using Linear Regression, International Journal of Advanced Smart Convergence. 132-140.

Zhang, Q. (2021). Housing Price Prediction Based on Multiple Linear Regression. Hindawi Scientific Programming, (3), 1-9. https://www.hindawi.com/journals/sp/2021/7678931/

accenture. (n.d.). MACHINE LEARNING IN INSURANCE https://www.accenture.com/_acnmedia/pdf-84/accenture-machine-leaning-insurance.pdf

coursera. (n.d.). Medical Insurance Premium Prediction with Machine Learning. https://www.coursera.org/projects/medical-insurance-premium-prediction-with-machine-learning

excellarate. (2021). Blockchain in Insurance: Use Cases and the Way Forward. https://www.excellarate.com/blogs/blockchain-in-insurance-use-cases-and-the-way-forward/

javatpoint. (2022). Decision Tree Classification Algorithm. https://www.javatpoint.com/machine-learning-decision-tree-classification-algorithm

kaggle. (n.d.). Medical Cost Personal Datasets. https://www.kaggle.com/datasets/mirichoi0218/insurance

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Published

2022-06-24

How to Cite

Ghosh, M., & Gor, R. (2022). HEALTH INSURANCE PREMIUM PREDICTION USING BLOCKCHAIN TECHNOLOGY AND RANDOM FOREST REGRESSION ALGORITHM. International Journal of Engineering Science Technologies, 6(3), 74–82. https://doi.org/10.29121/ijoest.v6.i3.2022.346