id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-6186	Pritibala Sudhakar Ingle, Santosh Deshpande	Cardiovascular Disease Classification Using Advanced Machine Learning Techniques: A Comparative Study 	2025	13	.pdf	application/pdf	6181	349	43	[19] Goel, Rati, “Heart Disease Prediction Using VariousAlgorithms of Machine Learning” (July 12, 2021).Proceedings of the International Conference on InnovativeComputing & Communication (ICICC) 2021, Available atSRN: https://ssrn.com/abstract=3884968 orhttp://dx.doi.org/10.2139/ssrn.3884968 [20] Machine learningebased heart disease prediction system forIndian population: An exploratory studyMdone in South IndiaEkta Maini, Bondu Venkateswarlu, Baljeet Maini, DheerajMarwaha https://doi.org/10.1016/j.mjafi.2020.10.013 [21] Apurv Garg, Bhartendu Sharma and Rijwan Khan “heartdisease prediction using machine learning techniques” January 2021 IOP Conference Series Materials Science andEngineering 1022(1):012046 DOI:10.1088/1757-899X/1022/1/012046. As far as a binary classification problem in heart disease prediction, an SVM works by maximizing the margin between the nearest data points of each class commonly referred to as the support vectors.	cache/cana-6186.pdf	txt/cana-6186.txt