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Predictive modeling of proliferative vitreoretinopathy using automated machine learning by ophthalmologists without coding experience
We aimed to assess the feasibility of machine learning (ML) algorithm design to predict proliferative vitreoretinopathy (PVR) by ophthalmologists without coding experience using automated ML (AutoML). The study was a retrospective cohort study of 506 eyes who underwent pars plana vitrectomy for rheg...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658348/ https://www.ncbi.nlm.nih.gov/pubmed/33177614 http://dx.doi.org/10.1038/s41598-020-76665-3 |