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Title: A cloud-based platform for the non-invasive management of coronary artery disease
Authors: Sakellarios, Antonis
Correia J.
Kyriakidis S.
Georga E.
Tachos N.
Siogkas, Panagiotis
Sans F.
Stofella P.
Massimiliano V.
Clemente, Alberto
Rocchiccioli S.
Pelosi, Gualtiero
Filipovic, Nenad
Fotiadis D.
Issue Date: 2020
Abstract: © 2020 Informa UK Limited, trading as Taylor & Francis Group. We present the architecture and the usability testing of a novel cloud-based platform, which integrates cyber-physical systems and interoperability standards enabling a clinical decision support system for risk stratification, diagnosis, prognosis and treatment of CAD. In this work multi-disciplinary human data were used for the development of machine learning and computational biomechanics based predictive models. Two Lab-on-Chip devices have been integrated into the cloud platform. A targeted RNA-panel provides the mRNA gene expression values for the stratification algorithm. The results of the usability testing demonstrate that the platform is efficient, accurate and performs all developed tasks quickly.
Type: article
DOI: 10.1080/17517575.2020.1746975
ISSN: 1751-7575
SCOPUS: 2-s2.0-85083557430
Appears in Collections:Faculty of Engineering, Kragujevac

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