COVID-19 Outbreak Based Coronary Heart Diseases (CHD) Prediction Using SVM and Risk Factor Validation

Sowmya Sundari L K, Syed Thouheed Ahmed, K Anitha, M K Pushpa

20212021 Innovations in Power and Advanced Computing Technologies (i-PACT)17 citationsDOI

Abstract

Heart disease is a major concern for the medical fraternity under the influence of global pandemic outbreak. According to WHO 17.9 million deaths are reported due to suffering from cardio disease related medical influences and has increased due to comorbidities in outbreak of SARS-CoVID-19 globally. In this research, a focus is on proposing a technique to deal with a predict cognitive approach of classifying and validating the heat diseases risks. The technique is aided with SVM based classifier for decision support via risk factor validation. The technique has provided an improved predictive accuracy and reliability over the risk factor validation caused due to pandemic parameters.

Topics & Concepts

OutbreakCoronavirus disease 2019 (COVID-19)Support vector machinePandemicRisk factorReliability (semiconductor)Computer scienceMedicineDiseaseIntensive care medicineRisk analysis (engineering)Medical emergencyData miningArtificial intelligenceInternal medicineInfectious disease (medical specialty)PathologyPhysicsPower (physics)Quantum mechanicsArtificial Intelligence in HealthcareMachine Learning in HealthcareCOVID-19 diagnosis using AI