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The development and validation of automated machine learning models for predicting lymph node metastasis in Siewert type II T1 adenocarcinoma of the esophagogastric junction

BackgroundLymph node metastasis (LNM) is considered an essential prognosis factor for adenocarcinoma of the esophagogastric junction (AEG), which also affects the treatment strategies of AEG. We aimed to evaluate automated machine learning (AutoML) algorithms for predicting LNM in Siewert type II T1...

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Uloženo v:
Hlavní autoři: Chenghao Lu, Lu Liu, Minyue Yin, Jiaxi Lin, Shiqi Zhu, Jingwen Gao, Shuting Qu, Guoting Xu, Lihe Liu, Jinzhou Zhu, Chunfang Xu
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2024-04-01
Edice:Frontiers in Medicine
Témata:
machine learning
adenocarcinoma of the esophagogastric junction (AEG)
lymph node metastasis (LNM)
predictive model
Surveillance
Epidemiology
On-line přístup:https://www.frontiersin.org/articles/10.3389/fmed.2024.1266278/full
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