Application of preoperative artificial neural network based on blood biomarkers and clinicopathological parameters for predicting long-term survival of patients with gastric cancer

BACKGROUND: Because of the powerful abilities of self-learning and handling complex biological information, artificial neural network (ANN) models have been widely applied to disease diagnosis, imaging analysis, and prognosis prediction. However, there has been no trained preoperative ANN (preope-AN...

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Detalles Bibliográficos
Autores principales: Que, Si-Jin, Chen, Qi-Yue, Qing-Zhong, Liu, Zhi-Yu, Wang, Jia-Bin, Lin, Jian-Xian, Lu, Jun, Cao, Long-Long, Lin, Mi, Tu, Ru-Hong, Huang, Ze-Ning, Lin, Ju-Li, Zheng, Hua-Long, Li, Ping, Zheng, Chao-Hui, Huang, Chang-Ming, Xie, Jian-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2019
Materias:
Retrospective Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881508/
https://www.ncbi.nlm.nih.gov/pubmed/31798281
http://dx.doi.org/10.3748/wjg.v25.i43.6451

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881508/
https://www.ncbi.nlm.nih.gov/pubmed/31798281
http://dx.doi.org/10.3748/wjg.v25.i43.6451

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