Data Mining Prediction Techniques in Health Care Sector

2Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Knowledge discovery in databases (KDD) is another name of Data mining. It is an interdisciplinary area which focuses on extraction of useful knowledge from data in every sector like health, education, business etc. Nowadays, as covid pandemic is affecting everyone and due to surge in coronavirus cases causing shortage of hospital beds, oxygen supplies, vaccine and turning away patients from hospitals, put creaky health infrastructure in spotlight. The plenty of data is available in the medical field of these conditions. Data mining approaches can be used to extract useful patterns from these types of data to follow the upcoming trends. This paper focuses on various data mining techniques which can be used in medical industries for the best outcome.

Cite

CITATION STYLE

APA

Sharma, M. (2022). Data Mining Prediction Techniques in Health Care Sector. In Journal of Physics: Conference Series (Vol. 2267). Institute of Physics. https://doi.org/10.1088/1742-6596/2267/1/012157

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free