HEALTH INSURANCE PREMIUM PREDICTION USING BLOCKCHAIN TECHNOLOGY AND RANDOM FOREST REGRESSION ALGORITHMS
Journal: INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE TECHNOLOGIES (Vol.6, No. 3)Publication Date: 2022-05-06
Authors : Ghosh Madhumita Ravi Gor;
Page : 74-82
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, Random Forest Regression algorithm gives the better result.
Other Latest Articles
- Ferritlarning xossalari va qo’llanilishi. Ferritlarni ishlab chiqarish texnologiyasi. Temir borat monokristalining magnit xususiyatlari
- Xorazmda XIX asr oxiri va XX asr boshlarida shakllangan hovlili kompozitsion tuzilishga ega turar-joylar
- Materiallar xususiyatlarining bikr bo’lmagan turdagi qoplamalarni ta’mirlash texnologiyasini tanlashga ta’siri
- O’zbekistonda korxonalarning faoliyatini har tomonlama chuqur tahlil qilish orqali qo’shimcha mahsulot ishlab chiqarishni ko’paytirish
- Avtomobil yo’llarini ta’mirlash va saqlash texnologiyalari ishlarining asosiy maqsadi va vazifalari
Last modified: 2022-07-02 17:44:08