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

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-ANN) model to...

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Veröffentlicht in:World journal of gastroenterology : WJG 2019-11, Vol.25 (43), p.6451-6464
Hauptverfasser: 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
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Sprache:eng
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