An Effective and Efficient Alzheimer Disease Prediction System Using Machine Learning Model

Alzheimer's disease being a neurological condition in which the brain cells slowly die and the individual dies. As time passes, the disease's symptoms worsen, eventually leading to death. This condition affects the majority of the brain, including the areas that control memory, language, and thinking abilities. It's a disease that lasts a year or longer and necessitates continuing medical care. This research work utilizes a parameter called Mini Mental State Examination (MMSE) to diagnose the disease. If the individual is infected with the disease, the score decreases on a regular basis. The MMSE and MCI (Mini-Cognitive Test) both have 30 points, and a score of less than 12 means that the person's condition is critical. This condition can only be diagnosed; there is no long-term medication available. Theproject’s major objective is to develop high-accuracy machine learning algorithm that can predict illness based on psychological factor.