基于文献的冠心病不稳定性心绞痛气虚证异常指标挖掘研究

Research on Mining Abnormal Clinical Index of Coronary Heart Disease UAP Qi Deficiency Syndrome Based on Text Mining

目的:以冠心病不稳定性心绞痛气虚证为例,探讨文献挖掘法挖掘证候生物学指标的可行性。方法:采用文献与临床相结合的思想,通过文献挖掘的"共现"分析法挖掘出与冠心病不稳定性心绞痛气虚证的特异指标,然后与临床检测出的气虚证特异指标进行比较,最后对两种方法的结果进行一致性检验。结果:通过文献挖掘得出特异临床指标有39个,通过临床检验得出的特异指标有21个。两种结果相比较,Kappa值为0.43,具有一定程度的一致性。结论:文献挖掘法作为一种新的发现证候异常生物学指标的方法具有一定的可行性,建议将其扩大到其他证型的研究中,从而进一步检验该方法的可靠性和普适性。

Objective： Unstable angina pectoris Qi deficiency was as an example to explore the feasibility of literature min- ing method to find the associated with the syndrome of biological index. Methods： By using the combination of literature and clinical research, through literature mining ＂co-occurrence＂ analysis method to excavate abnormal index of unstable angina with Qi deficiency, and then compared with indicators of clinical detection, calculation accuracy and Kappa value. Results： Anomaly index results through literature and clinical conclusions are respectively 39 and 21. By comparing the results, the Kappa value is 0.43, consistent with a certain degree of. Conclusion： Literature mining method as a new method for finding syndrome abnormal biological indexes are feasible, proposals to further expand the research to other syndromes, prove that the method is of universality and reliability.