Alzheimer Disease
Hello I have 2 Q in Data mining please help me for that : Q1: Alzheimer’s disease is a progressive disorder that causes brain cells to waste away (degenerate) and die. Alzheimer’s disease is the most common cause of dementia a continuous decline in thinking, behavioral and social skills that disrupts a person’s ability to function independently. The early signs of the disease may be forgetting recent events or conversations. As the disease progresses, a person with Alzheimer’s disease will develop severe memory impairment and lose the ability to carry out everyday tasks. Current Alzheimer’s disease medications may temporarily improve symptoms or slow the rate of decline. These treatments can sometimes help people with Alzheimer’s disease maximize function and maintain independence for a time. Different programs and services can help support people with Alzheimer’s disease and their caregivers. Refer to the following link to have a brief review for this disease: 20350447 Tasks: – Build the dataset that would be helped in classifying the level of Alzheimer’s disease. · Determine the number and the names of classes that would be used in your experiment (level of Alzheimer’s disease). · Determine the best attributes that effect diagnosing this disease. Assign the suitable type for these attributes, make scientific argument for each type · Attach your file (CSV or arff, or Excel) after fill it with 30 records . · Perform exploratory data analysis to get a good feel for the data and prepare the data for data mining, supports your answer by add snapshots of the preprocessing part . · The task in this dataset is to make predictions of the degree of Alzheimer’s , Which is the suitable filter that supposed to use to select your attributes. · Visualize your attributes. In ?Note: solving this question, there must be an excel file written in the attributes and sent with the solution · Smooth your data set using Bin size=3, with all possible methods. Are there any reasons to make this process?
