Ischemic Heart Disease Prediction Using Optimized Squirrel Search Feature Selection Algorithm

In recent years, the volume in globally recognized medical data sets are increasing both with attributes and number of records. Machine learning algorithms aiming to detect and diagnose ischemic heart diseases requires high efficacy and judgment. The state of art Ischemic heart disease data sets pre...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.122995-123006
Hauptverfasser:	Cenitta, D., Vijaya Arjunan, R., Prema, K. V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification algorithms Datasets Decision trees Diseases Feature extraction feature selection Heart Heart diseases Heuristic methods Machine learning Metaheuristics Optimization Prediction algorithms random forest algorithm Random forests Search methods Searching squirrel search algorithm Squirrels University of California Irvin dataset
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