Early diagnosis of liver disease using improved binary butterfly optimization and machine learning algorithms

Liver disease in patients is on the rise due to environmental factors like toxic gas exposure, contaminated food, drug interactions, and excessive alcohol use. Therefore, diagnosing liver disease is crucial for saving lives and managing the condition effectively. In this paper, a new method called L...

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Vydáno v:	Multimedia tools and applications Ročník 83; číslo 10; s. 30867 - 30895
Hlavní autor:	Shaban, Warda M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.03.2024 Springer Nature B.V
Témata:	Classifiers Computer Communication Networks Computer Science Data Structures and Information Theory Decision trees Feature selection K-nearest neighbors algorithm Liver Liver diseases Machine learning Multimedia Information Systems Optimization Special Purpose and Application-Based Systems Support vector machines Track 2: Medical Applications of Multimedia Feature selection Liver Disease Butterfly Optimization Algorithm Classification
ISSN:	1573-7721, 1380-7501, 1573-7721
On-line přístup:	Získat plný text
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