Artificial Intelligence Based Memory Stash Alzheimer's Aid

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

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationICISCT 2020 - 2nd International Conference on Information Science and Communication Technology
EditorsKhalid M.Iraqi
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781728168999
ISBN (Print)9781728169002
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventInternational Conference on Information Science and Communication Technology 2020 - Karachi, Pakistan
Duration: 8 Feb 20209 Feb 2020
Conference number: 2nd
https://ieeexplore.ieee.org/xpl/conhome/9076090/proceeding (Proceedings)

Conference

ConferenceInternational Conference on Information Science and Communication Technology 2020
Abbreviated titleICISCT 2020
Country/TerritoryPakistan
CityKarachi
Period8/02/209/02/20
Internet address

Keywords

  • Aged user
  • Alzheimer's disease
  • Artificial intelligence
  • Cognitive inability
  • Dementia
  • Machine learning
  • Memory loss
  • Memory stash Alzheimer's aid
  • Mobile health applications

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