比较效益研究(comparative effectiveness research，简称CER), 是一种临床实效研究。比较效益研究有时也被称作为"以病人为中心的结局研究"，是评价不同的治疗方案对特定患者的疗效差异,针对不同类型患者，找出最好的治疗方法，减少不必要的医疗开支。与随机对照试验(RCT)不同，CER更侧重于效果研究，具有限制较少，样本量较大，得到的结果原则上更代表真实世界中观察的结果。Markov决策分析理论较适合比较效益的研究。.本研究拟对通过对中风恢复期患者的电子医疗档案的数据挖掘和Markov决策过程分析的研究，以达到不同治疗方法干预中风恢复期的疗效最优化为目的，形成中风恢复期不同状态下的最佳治疗方案。同时，基于中风恢复期进行针灸干预的患者信息的提取和转换，分析治疗中风恢复期相关病证达到最好疗效的不同针刺方法的优化组合，为临床治疗策略提供循证。

Comparative effectiveness research （CER）is a kind of clinical effective research，also known as “patient –centered study”,which can evaluate the different interventions and strategies for different patients to find the best therapeutic method, and helps to reduce unnecessary health care costs. Compare with random control trails, CER has the advantage of less restrict and large sample size, focus on the effect research which result can reflect the observation of real world. Markov decision process (MDP) theory appears to be a promising new method for use in comparative effectiveness research..The objective of this study is to compare the effectiveness of different interventions in patients with covalence of stroke by using Markov decision process (MDP) theory based on electronic medical records and find the best therapeutic strategy. Meanwhile, try to compare the different acupuncture method according to the syndrome in covalence of stroke based on the extraction and transformation of patients’ information which can provide evidence-based clinical treatment strategies.