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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%
Edge Intelligence
100%
Internet of Things
66%
Cardiovascular Disease
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%
Edge-aware
33%
Complex Framework
33%
Computer Science
Ambient Assisted Living
100%
Internet-Of-Things
100%
Edge Intelligence
100%
Deep Learning Technique
50%
Network Failure
50%
Predictive Analysis
50%
Reduced Network
50%
Feedforward Network
50%