Smart decision support system for keratoconus severity staging using corneal curvature and thinnest pachymetry indices
Zahra J. Muhsin,
Rami Qahwaji,
Mo’ath AlShawabkeh
et al.
Abstract:Background
This study proposes a decision support system created in collaboration with machine learning experts and ophthalmologists for detecting keratoconus (KC) severity. The system employs an ensemble machine model and minimal corneal measurements.
Methods
A clinical dataset is initially obtained from Pentacam corneal tomography imaging devices, which undergoes pre-processing and addresses imbalanced sampling through the application of an overs… Show more
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