Alzheimer Prediction using Machine Learning Algorithm

Machine-learning is the first and foremost thing that is used in artificial - intelligence, basically what that does is it gives a computer the ability to learn on its own with the help of data that is injected into it. In our research, we have chosen ML because it will help to reduce the time for prediction, and as a result, treatment will be faster. Moreover, in ML, the computer learns automatically without the assistance of humans, thus human participation is not required all the time. As a result of the person’s memory and reasoning being impacted by this disease, daily chores are hampered. We are trying to predict whether a person will have an Alzheimer’s problem or not using machine learning techniques. Earlier research was done using ml algorithms such as SVM, but also because we are using a larger data set, KNN algorithms will give us a good result and can help us predict the above disease more accurately.