id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-6020	Huang, Ruifan; Xu, Huifei	Intelligent Diagnosis of Alzheimer's disease	2023	8	.pdf	application/pdf	4990	232	55	Based on this, this paper uses decision tree model and random forest model to classify the data, and constructs model accuracy indexes: confusion matrix, acc, etc. so as to judge the advantages and disadvantages of the classification model. b1225604713@qq.com Abstract: In this paper, we combine the knowledge of decision tree model and K-means clustering algorithm with knowledge of statistics to solve the problems of Diagnosis of Alzheimer's disease using brain structure.	cache/fcis-6020.pdf	txt/fcis-6020.txt