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

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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Bibliographic Details
Main Authors: Enas Al-khlifeh, Ahmad S. Tarawneh, Khalid Almohammadi, Malek Alrashidi, Ramadan Hassanat, Ahmad B. Hassanat
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Parasites & Vectors
Subjects:
Amebiasis
E. histolytica
Electronic medical records (EMR)
Microscopic diagnosis
Machine learning
Feature selection
Online Access:https://doi.org/10.1186/s13071-024-06618-6
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