Use of machine learning to predict the risk of early morning intraocular pressure peaks in glaucoma patients and suspects

Camilo Brandão-de-Resende^1,2; Sebastião Cronemberger^1,2; Artur W. Veloso^1,2; Rafael V. Mérula^1,2; Carolina S. Freitas^1,2; Érica A. Borges^1,2; Alberto Diniz-Filho^1,2

DOI: 10.5935/0004-2749.20210101

1. Hospital São Geraldo, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
2. Department of Ophthalmology and Otorhinolaryngology, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil

Corresponding author

Alberto Diniz-Filho.
E-mail:[email protected]

Disclosure of potential conflicts of interest: None of the authors have any potential conflicts of interest to disclose.

Print PDF English

How to cite this article:

Brandão-de-Resende^{1 C, 2} , Cronemberger^{1 S, 2} , Veloso^{1 AW, 2} , et al. Uso de aprendizado de máquina para predizer o risco de picos de pressão intraocular no início da manhã em pacientes com glaucoma e suspeitos. Arq. Bras. Oftalmol. 2021;84(6):. 10.5935/0004-2749.20210101

Export citation