RFMiner: Risk Factors Discovery and Mining for Preventive Cardiovascular Health

A Literature Inspection on Polycystic Ovarian Morphology in Women Using Data Mining Methodologies

“…ANN found to be more effective with 89% accuracy using MATHLAB Tool followed by ELM and GMM. Yao Xiao et al [25] had a study on preventive cardiovascular health using RFMiner,in that they used 8 base classifiers in which, Naive Bayes and Random forest are best performers.A cascaded classifier is used by combine the advantages of both Naive Bayes and Random Forest. Theresa Princy.…”