Effectiveness of Artificial Intelligence Models for Cardiovascular Disease Prediction: Network Meta-Analysis

Decision trees; Deep learning; Diagnosis; Diseases; Forecasting; Heart; Neural networks; Random processes; Support vector machines; Cardiovascular disease; Causes of death; Confidence interval; Electronic database; Heart failure; Intelligence models; Learning models; Meta-analysis; Odd ratios; Web o...

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Bibliographic Details
Main Authors: Baashar Y., Alkawsi G., Alhussian H., Capretz L.F., Alwadain A., Alkahtani A.A., Almomani M.
Other Authors: 56768090200
Format: Article
Published: Hindawi Limited 2023
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Institution: Universiti Tenaga Nasional
Description
Summary:Decision trees; Deep learning; Diagnosis; Diseases; Forecasting; Heart; Neural networks; Random processes; Support vector machines; Cardiovascular disease; Causes of death; Confidence interval; Electronic database; Heart failure; Intelligence models; Learning models; Meta-analysis; Odd ratios; Web of Science; Cardiology; artificial intelligence; Bayes theorem; cardiovascular disease; female; human; machine learning; male; meta analysis; network meta-analysis; Artificial Intelligence; Bayes Theorem; Cardiovascular Diseases; Female; Humans; Machine Learning; Male; Network Meta-Analysis