Enhancing Decision Making through Combined Classification Techniques and Probabilistic Data Analysis for Ubiquitous Healthcare Anomaly Monitoring

Enhancing Decision Making through Combined Classification Techniques and Probabilistic Data Analysis for Ubiquitous Healthcare Anomaly Monitoring

A multi-agent data-analytics-based approach to ubiquitous healthcare monitoring is presented in this paper. The proposed architecture gathers a patient’s vital data using wireless body area networks, and the transmitted information is separated into binary component parts and divided into...

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Bibliographic Details
Main Authors: Reda Chefira, Said Rakrak
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Applied Sciences
Subjects:
support vector machine
classification techniques
machine learning
blood pressure
internet of things
Online Access:https://www.mdpi.com/2076-3417/9/22/4802

Internet

https://www.mdpi.com/2076-3417/9/22/4802

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