A Deep Longitudinal Model for Mild Cognitive Impairment to Alzheimer’s Disease Conversion Prediction in Low-Income Countries

Table 1

Studies using longitudinal data for early AD diagnosis.

Study	Algorithms	Demo	NM	MRI	PET	CSF	GS	Audio	Accuracy
[11]	Extreme learning machine			Y	Y	Y	Y		84.7
[12]	Multimodal deep learning		Y	Y	Y	Y			81
[13]	Auto regression		Y	Y					84.29
[14]	PCA and posterior probability		Y						84
[15]	LR, extrapolation, and SVM		Y						77.87
[18]	LR, NB, EN, KNN, KNN, GTB, and SVM	Y	Y						84
[20]	Deep sequential NN							Y	83
[21]	Rad-sig and SVM		Y	Y		Y			80
[22]	DNN	Y	Y	Y					63.30
[23]	CNN		Y	Y			Y		94
[24]	Regression and SVM		Y						71.16
[25]	WT and SVM			Y					84.13
[26]	ANN	Y	Y						66.67