Application of machine learning in the diagnosis of gastric cancer based on noninvasive characteristics

BACKGROUND: The diagnosis of gastric cancer mainly relies on endoscopy, which is invasive and costly. The aim of this study is to develop a predictive model for the diagnosis of gastric cancer based on noninvasive characteristics. AIMS: To construct a predictive model for the diagnosis of gastric ca...

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Detalles Bibliográficos
Autores principales: Zhu, Shuang-Li, Dong, Jie, Zhang, Chenjing, Huang, Yao-Bo, Pan, Wensheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775073/
https://www.ncbi.nlm.nih.gov/pubmed/33382829
http://dx.doi.org/10.1371/journal.pone.0244869

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775073/
https://www.ncbi.nlm.nih.gov/pubmed/33382829
http://dx.doi.org/10.1371/journal.pone.0244869

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