Early Detection of Dementia: Machine Learning for Predictive Analysis

Dementia, a progressive decline in cognitive function marked by memory loss, communication struggles, impaired judgment, and personality changes, primarily affects older adults. Early detection is critical as symptoms manifest years before diagnosis. This research leverages deep learning algorithms for dementia stage prediction and early identification of Alzheimer's disease, addressing the critical need for early diagnosis. This approach offers significant potential for disease prevention and slowing progression compared to prior methods reliant on risk factors and statistical models. Automated generation of reports on algorithm accuracy provides valuable insights for further research and clinical implementation. This novel approach holds promise for revolutionizing dementia diagnosis and significantly improving patient care.