Research on real-world knowledge mining and knowledge graph completion(Ⅲ):structured information extraction from real world data of bladder cancer based on regular expression
Research on real-world knowledge mining and knowledge graph completion(Ⅲ):structured information extraction from real world data of bladder cancer based on regular expression
With the development of medical big data,the real-world study(RWS)has received increasing attention in recent years,and has a good promising prospect.However,there are still some challenges in the implementation of RWS that has led to extensive discussion among scholars.The most urgent issue currently to be addressed is the unstructured nature of real-world data(RWD).Based on regular expressions,this study used rule-based information extraction method to extract structured information from admission records,pathological reports,surgical records,and image records of bladder cancer patients in Zhongnan Hospital of Wuhan University in recent years,and evaluated the extraction effects with accuracy and recall as indicators,aiming to provide reference for subsequent research.
关键词
真实世界数据/信息抽取/正则表达式/自然语言处理/电子病历数据/膀胱癌
Key words
Real-world data/Information extraction/Regular expression/Natural language processing/Electronic medical record data/Bladder cancer
维普
万方数据