Secure Semantic Smart HealthCare (S3HC)

Healthcare is a significant domain having a huge knowledge base, a significant part which comes from medical, diagnostic and imaging devices and sensors. The health status of patients may be monitored and managed remotely by performing reasoning over this knowledge base. Specialists in HealthCare fa...

Full description

Saved in:
Bibliographic Details
Published in:Journal of web engineering 2018-01, Vol.17 (8), p.717
Main Authors: Sanju Mishra Tiwari, Jain, Sarika, Abraham, Ajith, Shandilya, Smita
Format: Article
Language:English
Subjects:
Access control
Actuators
Big Data
Blood pressure
Confidentiality
Data collection
Health care facilities
Heart rate
Internet of medical things
Internet of Things
Interoperability
Knowledge bases (artificial intelligence)
Ontology
Patients
Privacy
Reasoning
Remote sensors
Resource Description Framework-RDF
Semantic web
Semantics
Sensors
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Healthcare is a significant domain having a huge knowledge base, a significant part which comes from medical, diagnostic and imaging devices and sensors. The health status of patients may be monitored and managed remotely by performing reasoning over this knowledge base. Specialists in HealthCare facilities are required to handle large quantity of data generated and make decisions. However, the heterogeneous and complex nature and the huge amount of data generated; the way it is represented and presented; and the security challenges may overburden the core abilities of thinking and reasoning of even highly skilled and knowledgeable experts putting the lives of patients at risk. The situation may become even worse when data is coming from various healthcare devices and sensors which are themselves characterized by a number of representation and serialization formats. To address the various challenges in healthcare, this paper tries to represent and hence exchange the data collected by healthcare devices meaningfully and securely. This allows all healthcare devices to operate in conjunction with each other facilitating deeper insights and enabling generation of intelligent recommendations.To transfer the collected data from devices to the knowledge base and vice versa, a healthcare IoT ontology with sensors and actuators is developed. SPARQL queries and SWRL rules are composed to provide personalized services and alleviating the doctors’ workload.
ISSN:1540-9589
1544-5976