A fuzzy decision-making system for video tracking with multiple objects in non-stationary conditions

An optimal method for diagnosing heart disease using combination of grasshopper evalutionary algorithm and support vector machines

“…Researchers examined decision trees, artificial neural networks, machine learning, and RIPPER classification for data on cardiovascular illness in Ref. [ 33 ]. The sensitivity, specificity, accuracy, error rate, true positive rate, and false positive rate are used to compare the effectiveness of these procedures.…”