利用连续自身对照病例系列的计算药物重新定位
Computational Drug Repositioning Using Continuous Self-controlled Case Series
摘要：
计算药物重新定位（CDR）是通过挖掘大规模异构药物相关数据源，为现有药物发现潜在新适应症的任务。利用数字生理测量和电子健康记录（EHRs）中提供的各种药物处方之间的患者级时序信息，我们提出了一个连续自我对照病例系列（CSCCS）模型CDR。作为初步评估，我们在实验中寻找可以控制空腹血糖（FBG）水平的药物。将CSCCS应用于Marshfield Clinic EHR，重新发现了用于控制血糖水平的知名药物。此外，还确定了一些最近文献支持血糖水平控制潜在作用的药物。
英文摘要：
Computational Drug Repositioning (CDR) is the task of discovering potential new indications for existing drugs by mining large-scale heterogeneous drug-related data sources. Leveraging the patient-level temporal ordering information between numeric physiological measurements and various drug prescriptions provided in Electronic Health Records (EHRs), we propose a Continuous Self-controlled Case Series (CSCCS) model for CDR. As an initial evaluation, we look for drugs that can control Fasting Blood Glucose (FBG) level in our experiments. Applying CSCCS to the Marshfield Clinic EHR, well-known drugs that are indicated for controlling blood glucose level are rediscovered. Furthermore, some drugs with recent literature support for the potential effect of blood glucose level control are also identified.
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