Your browser doesn't support javascript.
loading
A machine learning system to optimise triage in an adult ophthalmic emergency department: a model development and validation study.
Brandao-de-Resende, Camilo; Melo, Mariane; Lee, Elsa; Jindal, Anish; Neo, Yan N; Sanghi, Priyanka; Freitas, Joao R; Castro, Paulo V I P; Rosa, Victor O M; Valentim, Guilherme F S; Higino, Maria Luisa O; Hay, Gordon R; Keane, Pearse A; Vasconcelos-Santos, Daniel V; Day, Alexander C.
Afiliação
  • Brandao-de-Resende C; Institute of Ophthalmology, University College London (UCL), London, UK.
  • Melo M; NIHR Moorfields Clinical Research Facility, Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Lee E; Research Department, DemDX Ltd, London, UK.
  • Jindal A; NIHR Moorfields Clinical Research Facility, Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Neo YN; Research Department, DemDX Ltd, London, UK.
  • Sanghi P; Institute of Ophthalmology, University College London (UCL), London, UK.
  • Freitas JR; NIHR Moorfields Clinical Research Facility, Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Castro PVIP; Research Department, DemDX Ltd, London, UK.
  • Rosa VOM; Institute of Ophthalmology, University College London (UCL), London, UK.
  • Valentim GFS; Accident and Emergency Department, Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Higino MLO; Accident and Emergency Department, Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Hay GR; Accident and Emergency Department, Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Keane PA; Research Department, DemDX Ltd, London, UK.
  • Vasconcelos-Santos DV; University of Sao Paulo (USP), Sao Paulo, Brazil.
  • Day AC; Hospital Sao Geraldo, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil.
EClinicalMedicine ; 66: 102331, 2023 Dec.
Article em En | MEDLINE | ID: mdl-38089860
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: EClinicalMedicine Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: EClinicalMedicine Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido