Deep Learning Approaches for Predicting Glaucoma Progression Using Electronic Health Records and Natural Language Processing.

Wang, Sophia Y; Tseng, Benjamin; Hernandez-Boussard, Tina

Wang, Sophia Y; Tseng, Benjamin; Hernandez-Boussard, Tina.

Afiliación

Wang SY; Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, California.
Tseng B; Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, California.
Hernandez-Boussard T; Center for Biomedical Informatics Research, Stanford University, Palo Alto, California.

Ophthalmol Sci ; 2(2): 100127, 2022 Jun.

Article en En | MEDLINE | ID: mdl-36249690

Palabras clave

AUC, area under the receiver operating characteristic curve; Artificial Intelligence; DL, deep learning; Deep Learning; EHR, electronic health record; Glaucoma; IOP, intraocular pressure; Informatics

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Ophthalmol Sci Año: 2022 Tipo del documento: Article

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