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May 2022 Issue Vol.12 No.5
EARLY SCREENING OF ALZHEIMER DISEASE UTILIZING MACHINE LEARNING APPROACH - AN OVERVIEW
https://ia601500.us.archive.org/17/items/2022_ijitce/vol12no501.pdf
Dr. R. Hemalatha
Head & Associate Professor, PG & Research Department of Computer Science,
Tiruppur Kumaran College for Women, Bharathiar University, India
L. Subathra Devi
Ph.D Research Scholar, PG & Research Department of Computer Science,
Tiruppur Kumaran College for Women, Bharathiar University, India
Abstract:
The application of Machine Learning within the field of diagnosis is increasing gradually. This can be contributed primarily to the development within the classification and recognition systems utilized in disease diagnosis which is in a position to supply data that aids doctors in early detection of fatal diseases and therefore, increase the survival rate of patients significantly, In this paper the diagnosis of Alzheimer’s disease (AD) or mild cognitive impairment (MCI) has attracted the attention of researchers during this field due to the rise within the occurrence of the diseases and therefore the need for early diagnosis.
Unfortunately, the character of the high dimension of neural data and few available samples led to the creation of a particular computer diagnostic system. Machine learning techniques, especially deep learning, have been considered as a useful tool in this field. Analyzing magnetic resonance imaging (MRI)
is a common practice for Alzheimer’s disease diagnosis in clinical research. Detection of Alzheimer’s disease is found by the similarity in Alzheimer’s disease MRI data and standard healthy MRI data of older people. Recently, advanced deep learning techniques have successfully demonstrated human-level
performance in numerous fields including medical image analysis. We propose a deep convolutional neural network for Alzheimer’s disease diagnosis using brainMRI data analysis. While most of the prevailing approaches perform binary classification, our model can identify different stages of Alzheimer’s disease and obtains superior performance for early-stage diagnosis. The objective of this research study is to introduc a computer-aided diagnosis system for
Alzheimer's disease detection using machine learning techniques.
Keywords: Machine Learning, Alzheimer’s disease (AD), Magnetic Resonance Imaging (MRI), Neural Data, Convolutional Neural Network (CNN).
