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COVID-19 Outbreak Based Coronary Heart Diseases (CHD) Prediction Using SVM and Risk Factor Validation
3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1759041
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. © 2021 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 2021 Year: 2021 Document Type: Article