A-DATA ANALYSIS TO IDENTIFY THE IMPACT OF DIABETES AMONG ALL GROUPS USING MACHINE LEARNING TECHNIQUES
S. Ramya
Department of Computer Applications, Anna University BIT-campus, Trichy-India, , IN
Dr.P. Vaishnavi
Department of Computer Applications, Anna University BIT-campus, Trichy-India, , IN
Keywords: diabetes, classification, decision tree,RStudio
Abstract
Current status of the world health is two out of three deaths because of Non-communicable disease like diabetics. Nearly a million people in India are affected by this diabetes. Apart from the health issue of diabetes is also a surge of a country’s economy. Taking this issue as the most priority, we took a study on analyzing the diabetic’s dataset to predict the status of diabetes affected groups of the country. The dataset had been collected from various repositories; they had been cleaned and taken for data analytics. In the near
future, there will maximum number of persons in all the groups from India are affected by type2 diabetes. In our results shows a strategy that major impact of diabetes is likely prone to female than the male. Also, the range of calculation based on non-diabetic shows that almost 70% increase in diabetic among all group especially for the adult. The resultant report shows the report of diabetic patients through a development of health monitoring software using effective classification decision tree algorithm of machine learning language and probabilistic risk assessment techniques from the readmitted patient were 30% among all groups. This paper will help to take precaution treatment among all groups before entering the diabetic disease.
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