Data Mining and Machine Learning are the emerging research fields that are gaining popularity in many areas including healthcare, education, spam filtering, manufacturing, CRM, fraud detection, intrusion detection, financial banking, customer segmentation, research analysis and many others due to their infinite applications and methodologies to discover the trends and knowledge from voluminous databases in the novel manner. Healthcare industry produces gigantic amount of data related to child immunization, maternal health, family planning, clinical data, health surveys, diagnosis etc. As the process of data collection in health sector increases, the usage of data mining and machine learning techniques for analyzing and decision making also increases. There is one major health issue in health sector i.e. maternal health that needs to be worried about. In this research paper, the maternal health data of the state of Jammu and Kashmir, India has been collected from HMIS portal and Naive Bayes classification algorithm of data mining has been used for the analysis. Various performance measures including Accuracy, Precision, Recall, Kappa, F-measure, AUC and Gini have also been used for calculating the performance.

Data Mining, Machine Learning, Maternal Health, Naïve Bayes

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