id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
sc-589	Peixoto, Hugo; Ramos, Vasco; Marques, Carolina; Machado, José	Predicting Diabetes Disease for healthy smart cities	2022	9	.pdf	application/pdf	6235	291	50	Furthermore, the results although based on a highly specific dataset are a substantial indicator of the reasonableness of a faster, smarter diabetes diagnostic with the help of data mining processes and techniques, which will positively contribute to earlier diagnosis, resulting in an improvement of the lives of the population affected by this disease. This last effort of being able to achieve early, intelligent and automated illness diagnosis is being undertaken by a multitude of different research teams, on different illnesses, by the usage of machine learning and data mining techniques [8, 9].	cache/sc-589.pdf	txt/sc-589.txt