Improving human brucellosis susceptibility mapping using effective and simultaneously metaheuristic-based feature selection and hyperparameter tuning

Human Brucellosis, a neglected zoonotic disease, affects 1.6 to 2.1 million people globally each year. In Iran, it has become a significant health concern, with an average annual incidence rate of 19.91 cases per 100,000 people. This study aims to create a reliable Human Brucellosis Susceptibility M...

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Vydáno v:	Acta tropica Ročník 267; s. 107657
Hlavní autoři:	Zandi, Iman, Jafari, Ali, Alesheikh, Ali Asghar
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Netherlands Elsevier B.V 01.07.2025
Témata:	Algorithms brucellosis Brucellosis - epidemiology decision making Disease Susceptibility Feature selection Human brucellosis susceptibility mapping Humans Hyperparameter tuning Iran Iran - epidemiology Machine Learning Metaheuristics algorithms mutation people Support vector regression zoonoses Iran Metaheuristics algorithms Support vector regression Feature selection Human brucellosis susceptibility mapping Hyperparameter tuning
ISSN:	0001-706X, 1873-6254, 1873-6254
On-line přístup:	Získat plný text
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