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- W4312254720 abstract "Alzheimer’s Disease (AD) is a brain disorder that slowly destroys memory and thinking skills and, eventually, the ability to carry out the simplest tasks. In most people with the disease those with the late-onset type symptoms first appear in their mid-60s. Early-onset Alzheimer’s occurs between a person’s 30s and mid-60s and is very rare. AD is the most common cause of dementia among older adults. Hence, due to this problem, we present a survey on the Alzheimer Disease using a Secure and Energy Efficient Internet of Things. In this paper we have done a survey on various models which are currently being used to predict, classify, and to track the AD patients using Bigdata, Internet-of-Things and Machine Learning (ML) technologies. The novelty of survey it provides objectives and solution to overcome research limitation of current state-of-art technologies." @default.
- W4312254720 created "2023-01-04" @default.
- W4312254720 creator A5040022071 @default.
- W4312254720 creator A5045586025 @default.
- W4312254720 date "2022-10-08" @default.
- W4312254720 modified "2023-09-25" @default.
- W4312254720 title "A Solution for Prediction and Tracking of Alzheimer Disease using Secure and Energy Efficient Internet-of-Things" @default.
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- W4312254720 doi "https://doi.org/10.1109/icccmla56841.2022.9989262" @default.
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