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Leveraging the Decision Tree Algorithm in the Early Detection of Diabetics and Urgency of Caesarean to Prevent Neonatal Mortality

Unnati Gupta

Vol. 10, Jul-Dec 2020

Abstract:

In the health care sector, where the decision has to be taken accurately as well as instantly, then the use of data mining is playing an important role. Considering more common health issues like delivery and diabetics, decision has to be taken instantly on the basis of symptoms and patients health conditions. Shortlist and applying the best prediction technique is very important because it affects patient lives. Assuming and predicting patient health is based on previous datasets. But as we know, it is a bit challenging for processing huge data to extract results. So we will consider using a data mining technique which is more accurate and has a higher prediction rate. So in our research, we consider taking two datasets in data mining technique, one is for delivery, and the other is for diabetics. So effective data mining technique is found for gaining more accuracy rate.

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