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Applying Deep Learning to Predicting Dementia and Mild Cognitive Impairment
[chapter]
2020
IFIP Advances in Information and Communication Technology
Dementia has a large negative impact on the global healthcare and society. Diagnosis is rather challenging as there is no standardised test. The purpose of this paper is to conduct an analysis on ADNI data and determine its effectiveness for building classification models to differentiate the categories Cognitively Normal (CN), Mild Cognitive Impairment (MCI), and Dementia (DEM), based on tuning three Deep Learning models: two Multi-Layer Perceptron (MLP1 and MLP2) models and a Convolutional
doi:10.1007/978-3-030-49186-4_26
fatcat:cbq4fc64nbfsjf5d3a2vwsbsyi