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Advisor(s)
Abstract(s)
Alzheimer's disease (AD) is currently an incurable illness that causes dementia and patienfs condition is
progressively worse and it represents one ofthe greatest public health challenges worldwide. The main objective
ofthis work was to develop a classificatiwmethodology for EEG signals to improve discrimination amongst
patients at varying stages ofthe illness, Mitd Cognitive Impairment (MCI) patients and non-patients either in order
to obtain a more reliable methodology to identify AD in early stages.
Description
Keywords
Alzheimer diasease Early stages Electroencephalogram signal Surrogate decision tree classifier
Pedagogical Context
Citation
Rodrigues, Pedro Miguel; Teixeira, João Paulo; Garrett, Carolina; Alves, Dílio; Freitas, Diamantino (2016). Alzheimer's Early Prediction with Electroencephalogram. In International Conference on Enterprise Information Systems/International Conference on Project Management/International Conference on Health and Social Care Information Systems and Technologies, Centeris/Projman - HCIST 2016. Porto