Early Detection of MCI
Sujatha Kumari B A1, A G Varun Yadiyala2, Aruna B J3, Radha C4, Shwetha B5
1Prof Sujatha Kumari B A, Dept of Electronics & Communication Engineering., JSS Science and Technology University, Mysuru, India.
2Radha C, Dept of Electronics & Communication Engineering. JSS Science and Technology University, Mysuru, India.
3A G Varun Yadiyala, Dept of Electronics & Communication Engineering., JSS Science and Technology University, Mysuru, India
4Aruna B J, Dept of Electronics & Communication Engineering., JSS Science and Technology University, Mysuru, India
5Shwetha B, Dept of Electronics & Communication Engineering., JSS Science and Technology University, Mysuru, India
Manuscript received on April 28, 2020. | Revised Manuscript received on May 16, 2020. | Manuscript published on May 30, 2020. | PP: 1828-1831 | Volume-9 Issue-1, May 2020. | Retrieval Number: A2398059120/2020©BEIESP | DOI: 10.35940/ijrte.A2398.059120
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Dementia is the brain disorder, that effects the mental cognitive function. Dementia has different stages. when the person is in the early stage they have short memory, losing or misplacing things, the person have more memory loss in moderate stage. During last stage patient completely depends on other for everyday activities. MCI has come to be recognized as an intermediate state of clinical impairment where an individual has mild cognitive symptoms but generally continue to function normally in the community. it is important to determine AD at an earlier stage which is Mild Cognitive Impairment (MCI). Toxic changes may start in the brain at the beginning stage of Alzheimer’s disease. MRI Images are used to detect disease at the earlies stage. Wavelet Transform is applied on the MRI Images followed by any feature selection. Machine learning algorithm is used to make prediction. This paper goes through all those studies and techniques used by scientists to unravel the progression of Alzheimer’s disease.
Keywords: MRI, Medical Image Compression, Discrete Wavelets, Feature Selection, Machine learning algorithm.
Scope of the Article: Machine learning