Table 2. AUCs of all prediction models using the baseline MRI data.

Model	Time	MMSE	ADAS13	mPACCdigit	mPACCtrailsB
RNN	12 months	0.657±0.037	0.803±0.007	0.831±0.005	0.849±0.005
	24 months	0.871±0.002	0.908±0.003	0.903±0.003	0.917±0.003
	36 months	0.963±0.002	0.975±0.002	0.973±0.001	0.971±0.001
	Overall	0.830±0.012	0.895±0.003	0.902±0.002	0.912±0.001
LSTM	12 months	0.666±0.019	0.804±0.003	0.830±0.003	0.848±0.005
	24 months	0.869±0.003	0.908±0.002	0.904±0.002	0.917±0.002
	36 months	0.963±0.002	0.974±0.003	0.973±0.001	0.972±0.002
	Overall	0.833±0.007	0.895±0.002	0.903±0.001	0.912±0.002
GRU	12 months	0.713±0.014	0.801±0.004	0.832±0.003	0.854±0.002
	24 months	0.869±0.003	0.911±0.002	0.907±0.002	0.920±0.001
	36 months	0.962±0.001	0.977±0.001	0.976±0.001	0.975±0.001
	Overall	0.848±0.005	0.896±0.002	0.905±0.001	0.916±0.001

Data are mean±standard deviation values. Predictions were based on patients’ clinical, MRI, and NP test data.

ADAS13, 13-item cognition subscale of the Alzheimer’s Disease Assessment Scale; AUCs, areas under the receiver operating characteristic curve; GRU, gated recurrent unit; LSTM, long short-term memory; MMSE, Mini-Mental State Examination; mPACC, modified Preclinical Alzheimer Cognitive Composite; MRI, magnetic resonance imaging; NP, neuropsychological; RNN, recurrent neural network.