Early Detection of Cognitive Decline Using Machine Learning Algorithm and Cognitive Ability Test

Table 8

Analysis with Bench mark models.

Method	Dataset	ML algorithm	Accuracy (%)	AUC (%)
Park et al. [11]	Korean National Health Insurance Service database between 2002 and 2010	Linear regression	66.8	69.5
		Support vector machine	67.1	70.58
		Random forest	70.12	76.1
Moore et al. [14]	TADPOLE grand challenge dataset	Random forest	73	82
Matioli et al. [17]	Diabetes data from brazilian aging brain study group between 2004 and 2015	Multivariate logistic regression	95	-
Proposed method	Diabetics registry data in kaggle repository and data set generated through CAT test	Support vector machine	0.86	90
		Random forest	0.71	0.74
		Multinomial logistic regression	0.89	0.92