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@article{149624,
        author = {M.Shakunthala and Irine Ponrose.A and Jaya Durga.M},
        title = {Detection and Classification of Alzheimer’s Disease using Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {1},
        pages = {143-147},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=149624},
        abstract = {Alzheimer’s disease is  neurodegenerative disorder which will be caused by progressive death of brain cells. The identification of Alzheimer’s disease (AD) has developed as the most challenging problem in medical area. This paper offers a new segmentation method which is called region masking for selecting the useful properties of affected parts in the human brain for improving the accuracy of diagnosis for Alzheimer’s disease. Therefore, attributes of assembled data sets can make better correctness of classification and are selected by using region masking.  The data set which contains more number of normal and Alzheimer’s disease subjects is considered. The empirical results show that the proposed method significantly increase the degree of correctness of the diagnosis of Alzheimer’s disease in comparison with previous methods.},
        keywords = {Alzheimer’s disease, Region Masking, MRI, GLCM, LBP, ANN
},
        month = {},
        }