AdaBoost Ensemble Methods Using K-Fold Cross Validation for Survivability with the Early Detection of Heart Disease

As a result of technology improvements, various features have been collected for heart disease diagnosis. Large data sets have several drawbacks, including limited storage capacity and long access and processing times. For medical therapy, early diagnosis of heart problems is crucial. Disease of hea...

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Bibliographic Details
Published in:	Computational intelligence and neuroscience 2022, Vol.2022, p.1-11
Main Authors:	Mahesh, T. R., Dhilip Kumar, V., Vinoth Kumar, V., Asghar, Junaid, Geman, Oana, Arulkumaran, G., Arun, N.
Format:	Article
Language:	English
Subjects:	Algorithms Analysis Artificial intelligence Bayes Theorem Bayesian analysis Body parts Cardiovascular disease Classifiers Coronary artery disease Data mining Data processing Datasets Decision trees Developing countries Diagnosis Early Diagnosis Forecasts and trends Heart Heart diseases Heart Diseases - diagnosis Humans Information storage and retrieval LDCs Machine learning Methods Neural networks Ovarian cancer Oversampling Research Design Storage capacity Survivability
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