An Ontology-Oriented Architecture for Dealing With Heterogeneous Data Applied to Telemedicine Systems

An Ontology-Oriented Architecture for Dealing With Heterogeneous Data Applied to Telemedicine Systems

Current trends in medicine regarding issues of accessibility to and the quantity and quality of information and quality of service are very different compared to former decades. The current state requires new methods for addressing the challenge of dealing with enormous amounts of data present and g...

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Bibliographic Details
Main Authors: Jesus Peral, Antonio Ferrandez, David Gil, Rafael Munoz-Terol, Higinio Mora
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Ontology-oriented architecture
heterogeneous data
health sector
artificial intelligence methods
personalized medicine
telemedicine system
Online Access:https://ieeexplore.ieee.org/document/8413084/

Internet

https://ieeexplore.ieee.org/document/8413084/

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