Primitive Time-Domain Classification of J-Junction Defects Indicative of Congenital Diseases Associated with SCD

Jaymie Phillips (University of Wales, United Kingdom (Great Britain)); John Rees (University of Wales Trinity St David, United Kingdom (Great Britain)); Tim Bashford (University of Wales Trinity Saint David, United Kingdom (Great Britain))

With the advancements in modern medicine, the life expectancy within the United Kingdom has increased. This greater life expectancy has resulted in the requisite management of chronic conditions and as such has increased the burden upon the NHS. This paper proposes a means for early screening of underlying health conditions that could result in early intervention and prevention of underlying cardiac conditions, thus reducing the later cost to the health services. The proposed solution employs a data reduction approach to classification in addition to using fundamental biological concepts to ascertain anomalous operation. The approach has proved relatively successful in this endeavour, though there are still improvements that could be achieved with accuracy.

Conference: UKSim-AMSS 22nd International Conference on Computer Modelling and Simulation, UKSim2020

Published: Mar 25, 2020

DOI: 10.5013/IJSSST.a.21.02.25