Data mining methods are typically employed in predictive analytics to obtain the valuable information and it has great attention in healthcare. Due to the extensive growth in healthcare communities, physicians detect the patients especially in the mode of delivery prediction during pregnancy. The early prediction of the mode of delivery assists to reduce the concern and pressure associated as well as the women in being emotionally and financially prepared. Recently, many methods have been developed to carry out the pregnancy delivery mode prediction but the accuracy of prediction was not improved with lesser time. Feature selection and classification methods are applied for predicting the delivery mode but, most of the delivery was not predicted with minimal time. Motivated by this fact, the novel machine learning technique is designed for analyzing certain risk factors and complications associated with the delivery. Through the risk factor analysis, the delivery prediction is efficiently performed with maximum accuracy and minimum time.
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