MEDICAL INFORMATICS IV
EARLY DETECTION OF ALZHEIMER DISEASE WITH MACHINE LEARNING
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İstanbul Üniversitesi Yayınları
Alzheimer’s disease (AD) is one of the most common neurodegenerative diseases in the world. AD, which causes irreversible damage to the brain, has adverse effects on human life, such as memory loss, the need for constant care, and the inability to perform daily activities. Although there is no cure, early diagnosis has benefits such as slowing down the progression of the disease, starting treatment, participating in clinical trial treatments, receiving psychological support, and preparing families for the future. The study aims to develop an early detection model with the help of machine learning. The proposed model uses digitized MRI images of the Cognitive Normal (CN), Mild Cognitive Impairment (MCI), and AD patients from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset for early detection of AD. Most studies focus only on distinguishing the CN and AD groups, but the proposed model also successfully detects the MCI group. In addition, the proposed model outperforms many AD early detection models in the literature.
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