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

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 include d...

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Detalles Bibliográficos
Autores principales: Sharifi, Mahyar, Khatibi, Toktam, Emamian, Mohammad Hassan, Sadat, Somayeh, Hashemi, Hassan, Fotouhi, Akbar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8611977/
https://www.ncbi.nlm.nih.gov/pubmed/34819128
http://dx.doi.org/10.1186/s13040-021-00281-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8611977/
https://www.ncbi.nlm.nih.gov/pubmed/34819128
http://dx.doi.org/10.1186/s13040-021-00281-8

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