摘要
在介绍中医脑卒中证型标准研究现状的基础上,从临床数据中整理采集脑卒中相关的病例,对脑卒中临床路径中数据标准进行定性、定量化分析后,用支持向量机方法对其中医临床信息和证候类别间关系建模,观察其预测准确性,为脑卒中临床决策提供合理可靠的信息支持。
Based on the introduction to the current situation of research on the standard for stroke syndrome of Traditional Chinese Medicine(TCM), the paper sorts out and collects related medical cases of stroke based on clinical data, builds models of the relationship between clinical information of TCM and syndrome categories through support vector machine after qualitative and quantitative analysis on the data standard in the clinical pathway of stroke, observes the predictive accuracy, and provides reasonable and reliable information support for clinical decision of stroke.
作者
唐迎春
黄至辉
代凯
甘志超
TANG Ying - chun HUANG Zhi - hui DAI Kai GAN Zhi - chao(Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China)
出处
《医学信息学杂志》
CAS
2017年第8期40-45,共6页
Journal of Medical Informatics
基金
福建省科技厅重点项目"基于数据挖掘的脑血管疾病(CVD)中风病(脑梗死)恢复期中医临床路径建模研究"(项目编号:2014H0021)