论文标题
关于病理请求表的临床注释的文本分析，以确定乙型肝炎和C病毒感染状态的敏感性和特异性
Textual analysis of clinical notes on pathology request forms to determine sensitivity and specificity of Hepatitis B and C virus infection status
论文作者
论文摘要
储层计算是预测湍流的有力工具，其简单的架构具有处理大型系统的计算效率。然而，其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间，然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用，该系统模拟了湍流的若干特征。我们表明，使用径向基函数作为非线性投影器，即使只有部分观测并且不知道控制方程，也能稳健地捕捉复杂的系统非线性。最后，我们表明，当测量稀疏、不完整且带有噪声，甚至控制方程变得不准确时，我们的网络仍然可以产生相当准确的预测，从而为实际湍流系统的无模型预测铺平了道路。
Background: It is not established whether clinical notes provided on pathology request forms are useful as decision support data when assessing Hepatitis B and C viral infection status. Objective: To determine sensitivity, specificity, and predictive value of clinical notes for identifying infection status of Hepatitis B and C. Methods: The study comprises 179 cases and 166 cases tested for HBsAg and anti-HCV serological markers, respectively, and accompanied by a written description (clinical note) provided on pathology request forms by the clinician on duty. The clinical note sensitivity, specificity, positive (PPV) and negative (NPV) predictive values were calculated using serological HBsAg and anti-HCV tests as gold standards. Results: The sensitivity and specificity of clinical notes for Hepatitis B infection status were 90 percent and 56 percent, respectively. The sensitivity and specificity of clinical notes for Hepatitis C infection status were 86 percent and 21 percent, respectively. Conclusions: Clinical note information identifies moderate-to-high sensitivity with regards to Hepatitis B and C viral infection status, however, given low specificity in both groups, the clinical note is not favourable for ruling disease in, possibly due to high rate of false positives.
