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Deep edge intelligence-based solution for heart failure prediction in ambient assisted living
Md Ishan Arefin Hossain
, Anika Tabassum
,
Zia Ush Shamszaman
Centre for Digital Innovation
Teesside University
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peer-review
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Keyphrases
Ambient Assisted Living
100%
Heart Failure Prediction
100%
Heart Disease Prediction
100%
Deep Edge Intelligence
100%
Internet of Things
66%
Cardiovascular Disease
33%
Edge-based
33%
Feedforward Network
33%
Predictive Analysis
33%
Chronic Disease
33%
Sensor Data
33%
Medical Systems
33%
Network Loss
33%
Time Prediction
33%
Disease Prediction
33%
Reduced Network
33%
Quinary
33%
Network Interruption
33%
Lightweight Deep Learning Techniques
33%
Notification System
33%
Heart Failure Disease
33%
Network Bottleneck
33%
Ambient Assisted Living Systems
33%
Medicine and Dentistry
Heart Disease
100%
Congestive Heart Failure
100%
Assisted Living
100%
Disease
33%
Cardiovascular Disease
33%
Chronic Disease
33%