Artificial Intelligence Based Memory Stash Alzheimer’s Aid

Bhagia Sheri, Pooja Kumari,Isma Farah Siddiqui,Hira Noman

2020 International Conference on Information Science and Communication Technology (ICISCT)(2020)

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摘要
Technology is empowering in every field of the world. Artificial Intelligence (AI) is replacing human efforts with modern techniques and plays a crucial role in sustaining health. Machine Learning is performing a vital role in diagnosing diseases and providing better solutions. As there are many incurable diseases (i.e. Alzheimer's), those need the support of AI to prevent further progression. Alzheimer's is the most common cause of dementia, a general term for loss of memory and other cognitive abilities that are severe enough to interfere with daily life human performance. According to various studies, it is found that Alzheimer's disease accounts for 60% to 80% of cases of dementia. There are 7 stages of Alzheimer's disease and each stage has its symptoms. As the stage increases the condition of the patient becomes worse over time. They become fully dependent on their caretakers. Many applications target Alzheimer's disease but mostly all focus on a few stages and provide limited features. Our proposed idea is to develop an AI-based application `Memory Stash Alzheimer's Aid' that targets every stage of Alzheimer's disease. It will help the patients in their daily routine tasks and focusing on the problems they face. It provides a variety of features which will help to improve their quality of life.
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关键词
artificial intelligence,machine learning,Alzheimer's disease,dementia,memory stash Alzheimer’s aid,mobile health applications,cognitive inability,aged user,memory loss
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