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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...
Autores principales: | Wang, Zhang, Shao, Sheng-Li, Liu, Lu, Lu, Qi-Yi, Mu, Lei, Qin, Ji-Chao |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2023
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Materias: | |
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 |
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