Machine learning for lymph node metastasis prediction of in patients with gastric cancer: A systematic review and meta-analysis

OBJECTIVE: To evaluate the diagnostic performance of machine learning (ML) in predicting lymph node metastasis (LNM) in patients with gastric cancer (GC) and to identify predictors applicable to the models. METHODS: PubMed, EMBASE, Web of Science, and Cochrane Library were searched from inception to...

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Detalles Bibliográficos
Autores principales: Li, Yilin, Xie, Fengjiao, Xiong, Qin, Lei, Honglin, Feng, Peimin
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/PMC9433672/
https://www.ncbi.nlm.nih.gov/pubmed/36059703
http://dx.doi.org/10.3389/fonc.2022.946038

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433672/
https://www.ncbi.nlm.nih.gov/pubmed/36059703
http://dx.doi.org/10.3389/fonc.2022.946038

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