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

SL Zhu, J Dong, C Zhang, YB Huang, W Pan - Plos one, 2020 - journals.plos.org
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 …

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

SL Zhu, J Dong, C Zhang, YB Huang, W Pan - PloS one, 2020 - pubmed.ncbi.nlm.nih.gov
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 …

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

SL Zhu, J Dong, C Zhang, YB Huang, W Pan - PLoS ONE, 2020 - scholar.archive.org
Application of machine learning in the diagnosis of gastric cancer based on noninvasive
characteristics Page 1 RESEARCH ARTICLE Application of machine learning in the diagnosis …

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

SL Zhu, J Dong, C Zhang, YB Huang, W Pan - PLOS ONE, 2020 - econpapers.repec.org
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 …

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

SL Zhu, J Dong, C Zhang, YB Huang, W Pan - PLoS ONE, 2020 - ncbi.nlm.nih.gov
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 …

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

SL Zhu, J Dong, C Zhang, YB Huang, W Pan - Plos one, 2020 - europepmc.org
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 …

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

SL Zhu, J Dong, C Zhang, YB Huang, W Pan - PLoS ONE, 2020 - go.gale.com
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 …

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

SL Zhu, J Dong, C Zhang, YB Huang, W Pan - PLOS ONE, 2020 - ideas.repec.org
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 …

[引用][C] Application of machine learning in the diagnosis of gastric cancer based on noninvasive characteristics

SL Zhu, J Dong, C Zhang, YB Huang, W Pan - PLoS ONE, 2020 - ui.adsabs.harvard.edu
Application of machine learning in the diagnosis of gastric cancer based on noninvasive
characteristics - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS …

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

SL Zhu, J Dong, C Zhang, YB Huang, W Pan - PLoS ONE, 2020 - search.ebscohost.com
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 …