id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-2348	Tintu Varghese	Performance Comparison of Deep Learning Algorithm for Autism Spectrum Disorder Prediction	2024	10	.pdf	application/pdf	3699	232	42	To facilitate the training of machine learning models, the target variable 'Autism' was encoded into a numerical format using label encoding. The classification results show that the LSTM and GRU models exhibited similar accuracy, with values of 71.03% and 70.78% respectively.	cache/cana-2348.pdf	txt/cana-2348.txt