基于BP神经网络的肝纤维化无创性诊断模型分析

《基于BP神经网络的肝纤维化无创性诊断模型分析》由会员上传分享，免费在线阅读，更多相关内容在学术论文-天天文库。

1、·目录中文摘要.....................................................................1英文摘要.....................................................................3引言............................................................................5正文..............................................

2、..............................61资料与方法....................................................................61.1一般资料.....................................................................61.2诊断标准.....................................................................61.2.1慢性乙型肝炎西医诊断标准.

3、...........................................61.2.2慢性乙型肝炎的中医辨证分型诊断标准..............................61.2.3慢性乙型肝炎的病理学诊断标准.......................................61.3病例纳入和排除标准.......................................................71.3.1纳入标准.............................................

4、......................71.3.2排除标准...................................................................71.4临床资料收集................................................................81.4.1观察项目...................................................................81.4.2实验室指标.................

5、...............................................81.5肝穿刺组织病理学检测方法..............................................81.6统计学处理..................................................................91.7神经网络诊断模型的建立.................................................91.8模型的验证.....................

6、............................................102结果...........................................................................102.1各项临床指标与肝纤维化分期的相关性分析结果....................102.2肝纤维化BP神经网络诊断模型诊断结果..............................102.2.1有效指标筛选结果........................................

7、...............132.2.2神经网络模型的建立与应用...........................................131····1.1检验模型的实际预测效果..............................................151.2ANN模型预测能力与实际情况比较ROC曲线....................151.3影响因素的敏感度分析.................................................163讨论...................

8、......................................................