Development of glaucoma predictive model and risk factors assessment based on supervised models

Development of glaucoma predictive model and risk factors assessment based on supervised models

Abstract Objectives To develop and to propose a machine learning model for predicting glaucoma and identifying its risk factors. Method Data analysis pipeline is designed for this study based on Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology. The main steps of the pipeline in...

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Bibliographic Details
Main Authors: Mahyar Sharifi, Toktam Khatibi, Mohammad Hassan Emamian, Somayeh Sadat, Hassan Hashemi, Akbar Fotouhi
Format: Article
Language:English
Published: BMC 2021-11-01
Series:BioData Mining
Subjects:
Ophthalmology
Data Mining
Imbalanced Learning
Feature selection
Ensemble classification
Online Access:https://doi.org/10.1186/s13040-021-00281-8

Internet

https://doi.org/10.1186/s13040-021-00281-8

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