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Top1. Introduction
Brain has many disorders and one of most important is known as Alzheimer’s disease. It is an unavoidable neurological disorder. It is believed to be a degenerative and progressive in turn related to dementia, which is memory loss in human. The neurons present in the brain damages and there by causes influences in thinking learning and memory part of brain cells. This is due to the accumulation of protein in brain. Frequently there are two proteins named beta amyloid and tau when beta amyloid protein (Van der Kant, R et. al 2020) is amassed outside the neuron and tau protein amassed inside the neuron and there by neuron is damaged and the neuron cell clues to death of never cell (Gordon et. al 2019). This scenario was observed and discovered by the psychiatrist and neuropathology’s Aloes Alzheimer. His invention of brain disorder was further named as Alzheimer’s disease and from early 1900’s (Toodayan, N. 2016) the research has been started on this topic with many methods and technologies. Yet the prediction on time is an open challenge for the bright researcher in this upcoming area.
The other brain disorders are epileptic seizures and Parkinson’s disease; these are also real time projects going in research filed to avoid the ratio of sudden death due to brain disorders (Shokouh Alaei, H et al 2019). Alzheimer disease is notices in later life of people however aging is not only the factor that affects merely there are other causes like high blood pressure and imbalanced diabetics which play a major role in Alzheimer’s disease. Depression can lead to brain stuck and overthinking can also damage the brain cell when used more, precautions must be taken to overcome out of depression and take medical health in emergency (Jakobs, M, et al 2020). The main symptom of Alzheimer’s disease is effect on memory. The patient with this disease may have a problem in loss of memory day by day it will increase absence of mind and abnormality behavior is developed (Bhushan, I. et al 2020). Mood swing and lack concentration can also be symptoms of Alzheimer’s disease. There must be an immediate consultation to doctor if the memory loss is occurring frequently. Primary stages can be treated with medicines and meditation, but secondary stages need for an urgent call of brain surgery.
Alzheimer’s disease has mainly four stages where pre-dementia and mild can be considered as more or less primary where there is a temporary loss of memory for a short duration of time and has been in moderate stage there is a loss of memory for a long period of time with a risk of losing it forever, in sever stage it can be a secondary or in last stage of Alzheimer’s disease there are chances of losing memory forever and there may be chance of death also if the pressure on brain cell is more. To predict Alzheimer’s disease brain images are mandatory as input for any of the designed model, brain images can be obtained from various methods like PET, MRI, EEG, CT these are reflected to be traditionally used methods. As the technology is growing there is essential need in medical field for the real time application using artificial intelligent .
Initial stages of AD and the diagnosis of symptomatic representation requires medical help and every so often if avoided due to abandonment then it may run to death. For the health maintenance purpose models are designed environmentally friendly to predict it before time and save the life. Neurons in the brain form an interconnected groups and leads to a neural network. As in the trending technology of Artificial intelligence, machine learning and deep learning is evidence for the image capturing at a high resolution. Neural networks are used in solving many problems in AI and it is used in both simple and complex models to find out pattern in data. Brain scanning can be made easier with the help of neural networks. (Li et al 2022)
The proposed technique has been designed and developed to address the qualitative attribute mapping and categorization in providing a relatively higher decision support compared to the existing techniques. The approaches are predefined and has an impact of streamlining the false-negative and true-positive predictions. Hence the orientation via fuzzy logic provides a reliable solution for enhancive diagnosis, classification and prediction of Alzheimer’s disease.