论文标题
药物匹配和异常批准编号校正的集成系统
An Integrated System of Drug Matching and Abnormal Approval Number Correction
论文作者
论文摘要
本文基于与111，Inc。的联合项目。近年来，随着大流行期间的医疗需求不断增加，药房电子商务业务迅速增长。在线药房平台的一个巨大挑战是药品匹配。电子商务平台通常从仓库或零售商等多个数据源中收集药品信息。因此，数据格式不一致，因此很难识别和匹配相同的药物。本文创建了一个集成系统，用于匹配两个数据源的药品。此外，该系统将基于天真的bayes药物类型（中国或非中国药物）分类器纠正一些不一致的药物批准数量。我们的集成系统达到98.3％的药物匹配精度，精度为99.2％，召回97.5％
This essay is based on the joint project with 111, Inc. The pharmacy e-Commerce business grows rapidly in recent years with the ever-increasing medical demand during the pandemic. A big challenge for online pharmacy platforms is drug product matching. The e-Commerce platform usually collects drug product information from multiple data sources such as the warehouse or retailers. Therefore, the data format is inconsistent, making it hard to identify and match the same drug product. This paper creates an integrated system for matching drug products from two data sources. Besides, the system would correct some inconsistent drug approval numbers based on a Naive-Bayes drug type (Chinese or Non-Chinese Drug) classifier. Our integrated system achieves 98.3% drug matching accuracy, with 99.2% precision and 97.5% recall
