id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-5361	Rajani Alugonda, Satya Prasad Kodati	Enhanced Machine Learning-Assisted Convolutional Neural Network for Heart Disease Prediction	2025	38	.pdf	application/pdf	8939	503	58	thal (Thalassemia Type) – ➢ 1: Normal ➢ 2: Fixed defect (blood flow issue) ➢ 3: Reversible defect (temporary blood flow issue) 15. target (Heart Disease Presence) – ➢ 1: Heart disease present ➢ 0: No heart disease Possible Uses of the Dataset: • Predicting heart disease using machine learning models. Traditional AI models such as Artificial Neural Networks (ANN), Deep Neural Networks (DNN), and Recurrent Neural Networks (RNN) have been used for heart disease prediction, but they often struggle with overfitting, high computational costs, and suboptimal performance in real-time applications.	cache/cana-5361.pdf	txt/cana-5361.txt