Rodrigues, Pedro MiguelTeixeira, João PauloGarrett, CarolinaAlves, DílioFreitas, Diamantino Silva2018-04-102018-04-102016Rodrigues, 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. Portohttp://hdl.handle.net/10198/16949Alzheimer'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.engAlzheimer diaseaseEarly stagesElectroencephalogram signalSurrogate decision tree classifierAlzheimer’s early prediction with electroencephalogramconference object