Development and validation of multivariable machine learning algorithms to predict risk of cancer in symptomatic patients referred urgently from primary care: a diagnostic accuracy study

OBJECTIVES: To develop and validate tests to assess the risk of any cancer for patients referred to the NHS Urgent Suspected Cancer (2-week wait, 2WW) clinical pathways. SETTING: Primary and secondary care, one participating regional centre. PARTICIPANTS: Retrospective analysis of data from 371 799...

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Detalles Bibliográficos
Autores principales: Savage, Richard, Messenger, Mike, Neal, Richard D, Ferguson, Rosie, Johnston, Colin, Lloyd, Katherine L, Neal, Matthew D, Sansom, Nigel, Selby, Peter, Sharma, Nisha, Shinkins, Bethany, Skinner, Jim R, Tully, Giles, Duffy, Sean, Hall, Geoff
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977764/
https://www.ncbi.nlm.nih.gov/pubmed/35365520
http://dx.doi.org/10.1136/bmjopen-2021-053590

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977764/
https://www.ncbi.nlm.nih.gov/pubmed/35365520
http://dx.doi.org/10.1136/bmjopen-2021-053590

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