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Using Kalman Filtering to Forecast Disease Trajectory for Patients with Normal Tension Glaucoma
PURPOSE: To determine whether a machine learning technique called Kalman filtering (KF) can accurately forecast future values of mean deviation (MD), pattern standard deviation (PSD), and intraocular pressure (IOP) for patients with normal tension glaucoma (NTG). DESIGN: Development and testing of a...
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| Publicado en: | Am J Ophthalmol |
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| Autores principales: | , , , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6662653/ https://ncbi.nlm.nih.gov/pubmed/30336130 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ajo.2018.10.012 |
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