摘要
目的基于BP神经网络建立食管鳞癌临床辅助诊断模型。方法对食管鳞癌患者的临床信息进行结构化处理,采用BP神经网络建立一种检测模型,对食管鳞癌患者的预后进行预测。结果建立了食管鳞癌患者的预后预测模型,通过测试验证了该模型的可行性。结论基于BP神经网络建立的食管鳞癌患者预后预测模型对临床治疗有参考价值。
Objective To establish a clinical assistant diagnosis model for esophageal squamous cell carcinoma based on BP neural network.Methods The clinical information of esophageal squamous cell carcinoma patients was structured and a detection model was established by BP neural network to predict the prognosis of esophageal squamous cell carcinoma patients.Results The prognosis prediction model of esophageal squamous cell carcinoma patients was established,and the feasibility of the model was verified by testing.Conclusion The prognostic model of esophageal squamous cell carcinoma patients based on BP neural network has important reference value for clinical treatment.
作者
刘怡文
杨洪
张灏
周福有
杨海军
孔金玉
孙蔚
原翔
高社干
LIU Yi-wen;YANG Hong;ZHANG Hao;ZHOU Fu-you;YANG Hai-jun;KONG Jin-yu;SUN Wei;YUAN Xiang;GAO She-gan(School of Information Engineering,Henan University of Science and Technology,Luoyang,China,471023;Henan Key Laboratory of Cancer Epigenetics,Cancer Hospital,The First Affiliated Hospital,and College of Clinical Medicine of Henan University of Science and Technology,Luoyang,China,471003;School of PE.Henan University of Science and Technology,Luoyang,China,471003;Institute of OncologyPrecision Medicine and Pathology,Jinan University Medical College,Guangzhou,China,510632;Anyang Tumor Hospital,Anyang,China,455000)
出处
《食管疾病》
2021年第1期11-15,21,共6页
Journal of Esophageal Diseases
基金
国家自然科学基金(81702820)
河南省科技攻关项目(202102310321,202102310129,212102310670)
河南省医学科技攻关项目(2018020273)
洛阳市科技计划医疗卫生项目(1813003A)。
关键词
人工智能
BP神经网络
食管鳞癌
预后
artificial intelligence
BP neural network
esophageal squamous cell carcinoma
prognosis
