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...

Szczegółowa specyfikacja

Zapisane w:
Opis bibliograficzny
Wydane w:World J Gastroenterol
Główni autorzy: 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
Format: Artigo
Język:Inglês
Wydane: Baishideng Publishing Group Inc 2019
Hasła przedmiotowe:
Retrospective Study
Dostęp online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6881508/
https://ncbi.nlm.nih.gov/pubmed/31798281
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3748/wjg.v25.i43.6451
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