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Community Health Information Gathering and Tracking System
, Gadade Aishwarya, Dudhale Archana, Patekar Bhushan
Published in IJRESM Publisher
Volume: 2.0
Issue: 2.0
Pages: 554.0 - 556.0
The growing healthcare industry is generating a large volume of useful data on patient demographics, treatment plans, payment, and insurance coverage, attracting the attention of clinicians and scientists alike. In recent years, more research is done in health care and many dimensions of data mining application in healthcare are addressed. In healthcare system valuable knowledge can be discovered from application of different data mining techniques and methods. Data mining in healthcare medicine deals with learning models to predict patients’ disease. Data mining applications can hugely benefit all parties involved in the healthcare industry. For example, data mining can help healthcare system or users to find effective treatments, medicines, doctors identify best & effective practices also detect fraud, also make customer relationship management related decisions and one of the important aspects is that patients get better and more affordable health related services and schemes. In this paper, system is proposed which will recommend health care services and schemes by analyzing health related data using data mining techniques and machine learning algorithms. This recommendation system is helpful in public sector to provide health care facilities by government and also for insurance companies to give Mediclaim Policies.
About the journal
JournalInternational Journal of Research in Engineering, Science and Management
PublisherIJRESM Publisher
Open Access0