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Alzheimer Detection System

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 10 Issue: 04 | Apr 2023

p-ISSN: 2395-0072

www.irjet.net

Alzheimer Detection System Hrutvik Rane, Swarali More, Ghanshyam Patel, Maitrey Phatak, Charmi Chaniyara Hrutvik Rane, Atharva College of Engineering, Maharashtra, India Swarali More, Atharva College of Engineering, Maharashtra, India Ghanshyam Patel, Atharva College of Engineering, Maharashtra, India Maitrey Phatak, Atharva College of Engineering, Maharashtra, India Charmi Chaniyara, Atharva College of Engineering, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract – Neurodegeneration in addition to poor

loss of ability to perform daily activities [3,4]. Reports from World Health Organization (WHO) state that around 47 million people across the world live with dementia. It could reach 82 million by 2030. The root cause of dementia is neurodegeneration and poor connections in the brain, which leads to poor decision making skills. Nonneurodegenerative mechanisms cause vascular dementia. Alzheimer's disease (AD) is one of the most common and common forms of dementia, accounting for 60% to 70% of dementia cases. Age is a risk factor for AD, especially in people over the age of 65. AD is more commonly found in women than men. However, the aetiology of AD has not been correctly determined by the medical personnel.. The main idea is based on the combination of extracellular Aβ peptide and hyperphosphorylated tau protein in brain cells. These two patterns are biomarkers called amyloid plaques (aggregation of beta-amyloid fragments of neurons) and tangles (intracellular accumulation of tau protein in the form of twisted filaments).

communication between neuron synapses lead to Dementia and Alzheimer’s disease. Alzheimer's disease (AD), the most common form of dementia, damages the brain, resulting in impaired memory and ability to perform daily tasks due to damage to the brain. With the help of MRI (Magnetic Resonance Imaging) scans of brain images, with the help of artificial intelligence (AI) technology, we can diagnose and predict the disease and classify AD patients to determine if they will develop this deadly disease. future. To be. The main goal of all these actions is to save time and money for radiologists, doctors and nurses and to develop better predictive tools, information and diagnostics to assist patients with this disease. Recently, the usage of deep learning algorithms has been increasingly helpful in diagnosis of AD. This is because DL algorithms work on large datasets. In the paper, we have made use of convolution neural network to work with early detection and classifying of the disease. CNNs are popular because of their excellent performance in machine learning using a wide range of information.

1.1 Common Symptoms

Key Words: Neurological disorder, Alzheimer’s disease,

Memory Loss:

Deep learning, MRI, Convolutional neural network, Brain imaging.

The most common symptom of Alzheimer's disease is memory loss. These include forgetting recent events, forgetting names and faces, misplacing items, and repeating questions.

1.INTRODUCTION The number of dangerous diseases has increased in recent years due to demographic shifts in developing and developed countries [1]. Except for some medications that halt the growth of the disorders, effective therapies for dementia and Alzheimer's disease are still elusive despite advancements in medical science. Therefore, preventing the spread of illnesses into their severe stages depends greatly on early detection [1,2]. Some of the serious diseases that have received a lot of attention in the mental health field are dementia and Alzheimer's disease. This is because of its prevalence in the elderly and its negative impact on the elderly's ability to perform daily tasks. Dementia is memory loss or impairment that prevents mental health from being maintained due to aging or illness. It is characterized by changes in mental and behavioral disorders or stroke. It is a syndrome that includes impaired memory, behavior and thinking and the

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Difficulty in planning and problem solving: Alzheimer's patients often have problems planning and solving problems. This can cause problems with tasks such as paying bills, managing finances, and completing daily tasks. Speech Problems: Alzheimer's patients may have difficulty finding the right words to express themselves or to understand what others are saying. Mood and behavioural changes: Alzheimer's disease can cause changes in mood and behaviour, such as depression, anxiety, irritability, and apathy.

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