HIPPOCAMPAL FUNCTION AND EARLY DETECTION OF ALZHEIMER’S DISEASE USING MACHINE LEARNING

Abstract

As of today, there is no cure for Alzheimer’s disease, which is a progressive and irreversible neurodegenerative illness of brain tissue that has no known cure. It causes a progressive and irreversible loss of mental functions, most notably memory, as well as other symptoms. The most significant challenge is that there is no definitive gold standard for diagnosing Alzheimer’s disease at the present time. This dementia should be diagnosed early, and we wish to underline the crucial function played by the hippocampus in this early detection of Alzheimer’s disease to aid in the identification of this type of dementia. We constructed a model that could accurately distinguish between non-demented persons and mildly demented patients.

Keywords

• hippocampus
• svm
• classification
• alzheimer’s disease
• machine learning
• ai
• гиппокамп
• svm
• классификация
• болезнь альцгеймера
• машинное обучение
• искусственный интеллект