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Data Mining in Health Centres with Tree Classifiers A Study

	International Journal of Scientific Research and Engineering Development (IJSRED)	Full Text:
	Published Issue : Volume-3 Issue-6
	Year of Publication : 2020
	Unique Identification Number : IJSRED-V3I6P42
	Authors : R.Shobana, K.shanthashalini, B.Madhumitha, S.Sangeetha, C.S.Pavithra
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Abstract :

This paper describes a decision making systembythe way of data mining to help doctors in decision making on a Caesarean Section during the healthcare. The dataset is cleaned and data mining is performed to ensure the robust data. This is life saving approach which could be used in labour ward. Higher rates of mother and baby survival is more in Caesarean section and is preferred across the globe.The proposed system would predict whether the surgery is needed. In this elaborate review,three modes of data mining such as ID3,Random Forest and CART are studied and out of these. Random Forest was clinched with an accuracy of 96.4% and less penalty cost.