id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-550	N. Juber Rahman	An Analytics of Sleep Apnea Classification using Caswideresnet Algorithm	2024	14	.pdf	application/pdf	5018	281	51	Table 1: Comparison table for sleep apnea prediction methods Author Year Methodology Advantage Limitation Alimardani, M., & de Moor, G. 2021 SVM The advantage of this study lies in its use of EEG signals to not only detect apnea episodes but also classify their severity and types accurately. Deep learning of facial depth maps for obstructive sleep apnea Prediction.	cache/cana-550.pdf	txt/cana-550.txt