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
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
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