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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...
Enregistré dans:
| Publié dans: | J Gastrointest Oncol |
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| Auteurs principaux: | , , , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
AME Publishing Company
2021
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| Sujets: | |
| Accès en ligne: | 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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