Highly efficient stacking ensemble learning model for automated keratoconus screening

Highly efficient stacking ensemble learning model for automated keratoconus screening

Abstract Background Despite extensive research on keratoconus (KC) detection with traditional machine learning models, stacking ensemble learning approaches remain underexplored. This paper presents a stacking ensemble learning method to enhance automated KC screening. Methods This study utilizes a...

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Bibliographic Details
Main Authors: Zahra J. Muhsin, Rami Qahwaji, Ibrahim Ghafir, Mo’ath AlShawabkeh, Muawyah Al Bdour, Saif Aldeen AlRyalat, Majid Al-Taee
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Eye and Vision
Subjects:
Corneal tomography
Ensemble learning
Feature selection
Keratoconus screening
Stacking ensemble learning
Online Access:https://doi.org/10.1186/s40662-025-00440-6
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