Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing

Abstract Background Amebiasis represents a significant global health concern. This is especially evident in developing countries, where infections are more common. The primary diagnostic method in laboratories involves the microscopy of stool samples. However, this approach can sometimes result in t...

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Hlavní autoři:	Enas Al-khlifeh, Ahmad S. Tarawneh, Khalid Almohammadi, Malek Alrashidi, Ramadan Hassanat, Ahmad B. Hassanat
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2025-01-01
Edice:	Parasites & Vectors
Témata:	Amebiasis E. histolytica Electronic medical records (EMR) Microscopic diagnosis Machine learning Feature selection
On-line přístup:	https://doi.org/10.1186/s13071-024-06618-6
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