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The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions

Purpose: Our work introduces a highly accurate, safe, and sufficiently explicable machine-learning (artificial intelligence) model of intraocular lens power (IOL) translating into better post-surgical outcomes for patients with cataracts. We also demonstrate its improved predictive accuracy over pre...

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Detalles Bibliográficos
Autores principales: Clarke, Gerald P., Kapelner, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931896/
https://www.ncbi.nlm.nih.gov/pubmed/33693417
http://dx.doi.org/10.3389/fdata.2020.572134