Smart decision support system for keratoconus severity staging using corneal curvature and thinnest pachymetry indices

Smart decision support system for keratoconus severity staging using corneal curvature and thinnest pachymetry indices

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 initiall...

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Bibliographic Details
Main Authors: Zahra J. Muhsin, Rami Qahwaji, Mo’ath AlShawabkeh, Saif Aldeen AlRyalat, Muawyah Al Bdour, Majid Al-Taee
Format: Article
Language:English
Published: BMC 2024-07-01
Series:Eye and Vision
Subjects:
Corneal tomography
Keratoconus
Feature selection
Severity staging
Machine learning
Smart web
Online Access:https://doi.org/10.1186/s40662-024-00394-1

Internet

https://doi.org/10.1186/s40662-024-00394-1

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