A machine learning model predicting candidates for surgical treatment modality in patients with distant metastatic esophageal adenocarcinoma: A propensity score-matched analysis

OBJECTIVE: To explore the role of surgical treatment modality on prognosis of metastatic esophageal adenocarcinoma (mEAC), as well as to construct a machine learning model to predict suitable candidates. METHOD: All mEAC patients pathologically diagnosed between January 2010 and December 2018 were e...

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Detalles Bibliográficos
Autores principales: Liao, Fang, Yu, Shuangbin, Zhou, Ying, Feng, Benying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354694/
https://www.ncbi.nlm.nih.gov/pubmed/35936753
http://dx.doi.org/10.3389/fonc.2022.862536

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354694/
https://www.ncbi.nlm.nih.gov/pubmed/35936753
http://dx.doi.org/10.3389/fonc.2022.862536

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