Machine learning-based random forest predicts anastomotic leakage after anterior resection for rectal cancer

BACKGROUND: Anastomotic leakage (AL) is one of the commonest and most serious complications after rectal cancer surgery. The previous analyses on predictors for AL included small-scale patients, and their prediction models performed unsatisfactorily. METHODS: Clinical data of 5,220 patients who unde...

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Veröffentlicht in:J Gastrointest Oncol
Hauptverfasser: Wen, Rongbo, Zheng, Kuo, Zhang, Qihang, Zhou, Leqi, Liu, Qizhi, Yu, Guanyu, Gao, Xianhua, Hao, Liqiang, Lou, Zheng, Zhang, Wei
Format: Artigo
Sprache:Inglês
Veröffentlicht: AME Publishing Company 2021
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Original Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8261311/
https://ncbi.nlm.nih.gov/pubmed/34295545
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/jgo-20-436
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