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- W2940561310 abstract "Machine learning is being widely used in various medical fields. Advances in medical technologies have given access to better data for identifying symptoms of various diseases in early stages. Alzheimer's disease is chronic condition that leads to degeneration of brain cells leading at memory enervation. Patients with cognitive mental problems such as confusion and forgetfulness, also other symptoms including behavioral and psychological problems are further suggested having CT, MRI, PET, EEG, and other neuroimaging techniques. The aim of this paper is making use of machine learning algorithms to process this data obtained by neuroimaging technologies for detection of Alzheimer's in its primitive stage." @default.
- W2940561310 created "2019-05-03" @default.
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- W2940561310 date "2018-08-01" @default.
- W2940561310 modified "2023-10-06" @default.
- W2940561310 title "Diagnosis of Alzheimer's Disease Using Machine Learning" @default.
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- W2940561310 doi "https://doi.org/10.1109/iccubea.2018.8697386" @default.
- W2940561310 hasPublicationYear "2018" @default.
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