Machine learning to predict early recurrence after oesophageal cancer surgery

BACKGROUND: Early cancer recurrence after oesophagectomy is a common problem, with an incidence of 20–30 per cent despite the widespread use of neoadjuvant treatment. Quantification of this risk is difficult and existing models perform poorly. This study aimed to develop a predictive model for early...

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Detalles Bibliográficos
Autores principales: Rahman, S. A., Walker, R. C., Lloyd, M. A., Grace, B. L., van Boxel, G. I., Kingma, B. F., Ruurda, J. P., van Hillegersberg, R., Harris, S., Parsons, S., Mercer, S., Griffiths, E. A., O'Neill, J. R., Turkington, R., Fitzgerald, R. C., Underwood, T. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299663/
https://www.ncbi.nlm.nih.gov/pubmed/31997313
http://dx.doi.org/10.1002/bjs.11461

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299663/
https://www.ncbi.nlm.nih.gov/pubmed/31997313
http://dx.doi.org/10.1002/bjs.11461

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