id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fuelectenerg-13528	Lenka, Geeti Gayatri; Mishra, Pranati; Routray, Jyotirmayee; Kandpal, Meenakshi; Dash, Ranjan Kumar; Mishra, Debadutta	OPTIMIZING CARDIOVASCULAR DISEASE DIAGNOSIS: A META-HEURISTIC AND FUZZY LOGIC-BASED APPROACH	2025	22	.pdf	application/pdf	7543	422	52	[12] D. Shah, S. Patel and S. K. Bharti, Heart Disease Prediction Using Machine Learning Techniques, SN Comput. The results demonstrate that Framingham dataset gives best accuracy of 98.47% by using CSA algorithm for feature selection and Random Forest as classifier whereas for the CVD dataset gives best accuracy of 94.12% by using PSO algorithm and Random Forest as classifier.	cache/fuelectenerg-13528.pdf	txt/fuelectenerg-13528.txt