Open AccessApplication of Machine Learning Techniques to Predict the Impact of Health Insurance on the Wellbeing of an Individual
Author(s) -
Poornima Sweta,
Satyajit Das,
S. Gowrishankar
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7247.129219
Subject(s) - government (linguistics) , exploit , courtesy , domain (mathematical analysis) , process (computing) , data science , actuarial science , computer science , business , heuristic , health care , scale (ratio) , key person insurance , health insurance , machine learning , risk analysis (engineering) , artificial intelligence , insurance policy , economics , computer security , economic growth , geography , mathematical analysis , philosophy , linguistics , mathematics , cartography , political science , law , operating system
The healthcare domain in India has suffered considerably despite the advancement in technology. Several financing schemes are endorsed by the insurance companies to lessen the financial burden faced by the government and people. Nonetheless, Health Insurance segment in India remains underdeveloped due to various complexities that it faces. This paper exploits a heuristic sampling approach combined with the ensemble Machine Learning algorithms on the large-scale insurance business data to realize the current shape of the Health Insurance industry in India. Through the courtesy of Data Mining and Data Analytics, it is plausible to furnish insights that assist the common people in acquiring closure that helps in the process of decision making.