Implementation of Smart Healthcare System to Predict Caesarean Chances

Abstract

Now a day, numerous work is being done using automate decision making activities. Behind this scenario, the technology machine learning is working which automate the process of information mining and decision-making process. The machine learning techniques are applicable to various sectors viz., manufacturing industries, automobile industries, healthcare industries and so forth. Machine learning techniques offers numerous solution to these sectors also it acts as a lifesaver in healthcare sector. It is applying to improve the health conditions of the patient or offer health services at patient’s doorstep with less cost and in easier access to the medicinal facilities. The present study focusses on the applying machine learning techniques to predict the health condition during pregnancy. The study focusses on the prediction of caesarean chances by applying machine-learning techniques onto the collected attributes from pregnant women. To predict the accuracy of the results 14 machine-learning models applied to the collected dataset from 80 pregnant women with six attributes. It found from the prediction results that Naïve based classification techniques offers more accuracy as compared with other models.