Data Mining Classification on Hypo Thyroids Detection: Association Women Outnumber Men

  • Gothane D
N/ACitations
Citations of this article
7Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Thyroid diseases are common worldwide and affecting health life. Health care is an inevitable task to be done in human life. In this paper, we have made an attempt to diagnosis hypothyroid. This paper analyzes few essential parameters affecting thyroid. Data mining acts as a solution to many thyroid healthcare problems. To overcome the problem we have come here with a novel solution approach to identify key factors affecting hypothyroid using WEKA tool 3.8. This paper presents thyroid data analysis, classification and prediction. The result of the proposed work used for the forthcoming identification to keep track on important factors affecting hypothyroid.

Cite

CITATION STYLE

APA

Gothane, Dr. S. (2020). Data Mining Classification on Hypo Thyroids Detection: Association Women Outnumber Men. International Journal of Recent Technology and Engineering (IJRTE), 8(6), 601–604. https://doi.org/10.35940/ijrte.f7261.038620

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