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...
Guardado en:
Autores principales: | Mahyar Sharifi, Toktam Khatibi, Mohammad Hassan Emamian, Somayeh Sadat, Hassan Hashemi, Akbar Fotouhi |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
BMC
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/e63fc15ecaad417cb2998d9acf1430de |
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