Machine learning model for prediction of low anterior resection syndrome following laparoscopic anterior resection of rectal cancer: A multicenter study

BACKGROUND: Low anterior resection syndrome (LARS) severely impairs patient postoperative quality of life, especially major LARS. However, there are few tools that can accurately predict major LARS in clinical practice. AIM: To develop a machine learning model using preoperative and intraoperative f...

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Detalles Bibliográficos
Autores principales: Wang, Zhang, Shao, Sheng-Li, Liu, Lu, Lu, Qi-Yi, Mu, Lei, Qin, Ji-Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2023
Materias:
Case Control Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237089/
https://www.ncbi.nlm.nih.gov/pubmed/37274801
http://dx.doi.org/10.3748/wjg.v29.i19.2979

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237089/
https://www.ncbi.nlm.nih.gov/pubmed/37274801
http://dx.doi.org/10.3748/wjg.v29.i19.2979

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