Assessing Glaucoma Progression Using Machine Learning Trained on Longitudinal Visual Field and Clinical Data

Rule-based approaches to determining glaucoma progression from visual fields (VFs) alone are discordant and have tradeoffs. To detect better when glaucoma progression is occurring, we used a longitudinal data set of merged VF and clinical data to assess the performance of a convolutional long short-...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Ophthalmology (Rochester, Minn.) Minn.), 2021-07, Vol.128 (7), p.1016-1026
Hauptverfasser:	Dixit, Avyuk, Yohannan, Jithin, Boland, Michael V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Clinical data Glaucoma Machine learning Progression RNN Visual field
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!