[Can Big Data change our practices?] / Le Big Data peut-il changer nos pratiques ?
J Fr Ophtalmol
; 42(6): 551-571, 2019 Jun.
Article
em Fr
| MEDLINE
| ID: mdl-30979558
ABSTRACT
The European Medicines Agency has defined Big Data by the "3 V's" Volume, Velocity and Variety. These large databases allow access to real life data on patient care. They are particularly suited for studies of adverse events and pharmacoepidemiology. Deep learning is a collection of algorithms used in machine learning, used to model high-level abstractions in data using model architectures, which are composed of multiple nonlinear transformations. This article shows how Big Data and Deep Learning can help in ophthalmology, pointing out their advantages and disadvantages. A literature review is presented in this article illustrating the uses of Deep Learning in ophthalmology.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Oftalmologia
/
Algoritmos
/
Bases de Dados Factuais
/
Aprendizado de Máquina
/
Big Data
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
Idioma:
Fr
Revista:
J Fr Ophtalmol
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Austrália