Paper Info
Title
Cloud based patient prioritization as service in public health care
Abstract
This paper proposes and evaluates the performance of a Cyber-healthcare system which is aimed at providing patient prioritization over the cloud as a public health service for the rural and urban communities of the developing world. The underlying cloud-based Internet-of-Things (IoT-Cloud) infrastructure is aimed to be implemented in the city of Lubumbashi in the republic Democratic Republic of the Congo (DRC) with the objective of setting up a community health care network around a mesh of health kiosks. We propose a deployment model for the proposed Cyber-healthcare system, and describe a patient prioritization process as part of its situation awareness component. The results obtained from an experimental prototype reveal the field readiness of the off-the-shelf bio-sensor technology used by the system, the performance achieved when using a solar powered subsystem, the relative communication capabilities provided by its protocols and the network engineering feasibility of the planned community health care network. The relative efficiency of using supervised machine learning compared to unsupervised machine learning when performing patient prioritization, is also revealed through two popular algorithms: Multivariate linear regression (MLR) and K-means clustering (KMC).
Year
DOI
Venue
2016
10.1109/ITU-WT.2016.7805709
2016 ITU Kaleidoscope: ICTs for a Sustainable World (ITU WT)
Keywords
Field
DocType
E-health,Cyber-healthcare,Internet-of-Things,Patient prioritization,Situation recognition
Public health,Network engineering,Health care,Data mining,Software deployment,Situation awareness,Community health,Unsupervised learning,Engineering,Process management,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-5090-2769-9
2
0.41
References 
Authors
0
6
Name
Order
Citations
PageRank
Antoine B. Bagula131.12
C. Lubamba250.77
M. Mandava350.77
Herman Bagula451.11
Marco Zennaro534153.92
Ermanno Pietrosemoli6415.05