Metaheuristic-based hyperparameter optimization for multi-disease detection and diagnosis in machine learning

Metaheuristic algorithms with machine learning techniques have become popular because it works so well for problems like regression, classification, rule mining, and clustering in health care. This paper’s primary purpose is to design a multi-disease prediction system using AI-based metaheuristic ap...

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Veröffentlicht in:	Service oriented computing and applications Jg. 18; H. 2; S. 163 - 182
Hauptverfasser:	Singh, Jagandeep, Sandhu, Jasminder Kaur, Kumar, Yogesh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.06.2024 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Artificial intelligence Artificial neural networks Clustering Computer Appl. in Administrative Data Processing Computer Science Computer Systems Organization and Communication Networks Datasets Decision trees e-Commerce/e-business Graphical representations Health care Health services Heuristic methods IT in Business Machine learning Management of Computing and Information Systems Neural networks Optimization Searching Software Engineering/Programming and Operating Systems Special Issue Paper Support vector machines Medical data Artificial neural network Hyperparameters Metaheuristics Machine learning Random search
ISSN:	1863-2386, 1863-2394
Online-Zugang:	Volltext
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