<i>DeepFog:</i> Fog Computing-Based Deep Neural Architecture for Prediction of Stress Types, Diabetes and Hypertension Attacks

<i>DeepFog:</i> Fog Computing-Based Deep Neural Architecture for Prediction of Stress Types, Diabetes and Hypertension Attacks

The use of wearable and Internet-of-Things (IoT) for smart and affordable healthcare is trending. In traditional setups, the cloud backend receives the healthcare data and performs monitoring and prediction for diseases, diagnosis, and wellness prediction. Fog computing (FC) is a distributed computi...

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Bibliographic Details
Main Authors: Rojalina Priyadarshini, Rabindra Kumar Barik, Harishchandra Dubey
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Computation
Subjects:
fog computing
deep learning
deep neural network
stress prediction
diabetes mellitus
hypertension attack
smart health
connected health
Online Access:https://www.mdpi.com/2079-3197/6/4/62

Internet

https://www.mdpi.com/2079-3197/6/4/62

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