Page 269 - ITU Kaleidoscope 2016

P.6 Cloud based patient prioritization as service in public health care.
Antoine Bagula; Claude Lubamba; Munyaradzi Mandava (University of The Western Cape,
South Africa); Marco Zennaro; Ermanno Pietrosemoli (The Abdus Salam International Centre
for Theoretical Physics, Italy); Herman Bagula (University of Cape Town, South Africa)

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).

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