Abstract
Alzheimer’s disease is a common disease which is characterized by a person losing his memory progressively. Finally, the person also loses his life. It is often seen in the people above the age 60 but it may occur early. This disease destroys memory cells of the brain. Till now, it is a disease without any treatment and also there are no proper means of diagnosis. Research shows that most often it occurs either due to the deposition of defective structure of amyloid protein or due to the tangles in the brain. In this paper, we have proposed a system to detect the defective Amyloid protein using two classifiers. Secondary structure of Amyloid protein is detected and analyzed in our work which provides a way to predict the cause of Alzheimer.
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Bordoloi, H., Sarma, K.K. (2015). A Soft Computational Framework to Predict Alzheimer’s Disease (AD) from Protein Structure. In: Sarma, K., Sarma, M., Sarma, M. (eds) Recent Trends in Intelligent and Emerging Systems. Signals and Communication Technology. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2407-5_7
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DOI: https://doi.org/10.1007/978-81-322-2407-5_7
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