Development of prediction model of low anterior resection syndrome for colorectal cancer patients after surgery based on machine‐learning technique

BACKGROUND: Low anterior resection syndrome (LARS) is a common postoperative complication in patients with colorectal cancer, which seriously affects their postoperative quality of life. At present, the aetiology of LARS is still unclear, but some risk factors have been studied. Accurate prediction...

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Detalles Bibliográficos
Autores principales: Huang, Ming Jun, Ye, Lin, Yu, Ke Xin, Liu, Jing, Li, Ka, Wang, Xiao Dong, Li, Ji Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
RESEARCH ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883536/
https://www.ncbi.nlm.nih.gov/pubmed/35899858
http://dx.doi.org/10.1002/cam4.5041

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883536/
https://www.ncbi.nlm.nih.gov/pubmed/35899858
http://dx.doi.org/10.1002/cam4.5041

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