Development and validation of a multivariable risk factor questionnaire to detect oesophageal cancer in 2-week wait patients()

INTRODUCTION: Oesophageal cancer is associated with poor health outcomes. Upper GI (UGI) endoscopy is the gold standard for diagnosis but is associated with patient discomfort and low yield for cancer. We used a machine learning approach to create a model which predicted oesophageal cancer based on...

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Detalles Bibliográficos
Autores principales: Ho, Kai Man Alexander, Rosenfeld, Avi, Hogan, Áine, McBain, Hazel, Duku, Margaret, Wolfson, Paul BD, Wilson, Ashley, Cheung, Sharon MY, Hennelly, Laura, Macabodbod, Lester, Graham, David G, Sehgal, Vinay, Banerjee, Amitava, Lovat, Laurence B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Masson 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602932/
https://www.ncbi.nlm.nih.gov/pubmed/36669752
http://dx.doi.org/10.1016/j.clinre.2023.102087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602932/
https://www.ncbi.nlm.nih.gov/pubmed/36669752
http://dx.doi.org/10.1016/j.clinre.2023.102087

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