2020 · 47 citations · 28 references
ComputingCardiologyComputer ScienceArtificial IntelligenceClinical Decision SupportMachine LearningCardiovascular DiseaseCardiovascular MedicineComputer-aided DiagnosisDeep LearningDiagnostic Decision SupportPredictive Health ModelingAccuracyArtificial Intelligence-assisted DiagnosisCardiovascular Disease IncidenceCardiovascular Disease MortalityDeep Learning DiagnosticsMachine Learning Decision SupportMachine Learning For DiagnosisMachine Learning For Healthcare
Increasing incidence of cardiovascular disease and their mortality rate render them as second leading cause of death worldwide. Artificial Intelligence (AI) is used in many fields of science and industry, but also has found its use in medicine for diagnosis, treatment and prediction of diseases. This paper presents the review of AI application in cardiology. The review is based on research papers published in Medline database. Findings of the review indicate that, according to accuracy parameter, the overall performance of AI based models for cardiovascular application is above 83%. Based on the results, AI algorithms and deep learning can be rendered as accurate, hence showing possibility to be used as a diagnostic tool now and in the future. New era of modern diagnosing is coming and Artificial Intelligence has the potential to change the way in which medicine is practiced.
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Classification and Regression by randomForest
Andy Liaw, Matthew C. Wiener · 2007 · 18.4K citations
An empirical study of the naive Bayes classifier
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Zachi I. Attia, Peter A. Noseworthy, Francisco López-Jiménez et al. · The Lancet · 2019 · 1.5K citations