Novel and Efficient Prediction of Alzheimer’s Disease using VGG16 Deep Learning Model

The most of the people lives in world are suffering from dangerous disorder such as Alzheimer’s disease.Alzheimer’s disease(AD) is a brain disease that damage memory of the human brain. Memory loss and sudden change in human behavior are the some of the symptoms of Alzheimer’s disease. AD affects about 7.8 million Americans 60 and older. Over 80% of them are 70 years of age or older. AD is thought to account for 70% to 80% of the over 60 million dementia effected worldwide. No medicine invented for curing Alzheimer's disease but it leads to death when person suffer from dehydration and low nutrition or viral infection. Early disease monitoring is required to save human health from these mentor disorder. Proposed research uses deep learning models such as Convolution Neural Network(CNN) and VGG16 for disease prediction. Present research results are concluded by simulation results implemented on gogle colab using also CNN and VGG16 to predict Alzheimer's disease and achieved 97% accuracy by VGG16.

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