id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
bracis-33659	Souza, Daniel Leal; Santos, Isadora Mendes dos; Soares, Caio Johnston; Oliveira Neto, José Pires de; Cassiano, Lucas; Proença Neto, Marco Aurélio; Ramos, Aline Maria Pereira Cruz; Oliveira, Liliane Afonso de; Araújo, Flávia Luciana Guimaraes Marçal Pantoja de; Araújo, Fabrício Almeida; Souza Junior, Gilberto Nerino de; Braga, Marcus de Barros	Hybrid Artificial Intelligence Model for Detecting Signs of Delayed Child Development	2024		.htm	text/html	4438	189	44	Periodic assessments of child development indicators are important since birth, with most of them having preventive purposes or for the early diagnosis of disorders that may affect child development. The present study proposes a hybrid artificial intelligence model, combining first-order logic and fuzzy logic to identify delays in child development.	cache/bracis-33659.htm	txt/bracis-33659.txt