Drug Adverse Events Extraction Based On Frame Semantic Analysis Of Social Network Text

In recent years,the occurrence of adverse drug events at home and abroad has become a serious public health problem.The extraction of adverse drug events information is not only a practical requirement for effectively utilizing mass social network text medical information resources,but also a key issue that must be solved to improve the information mining efficiency of drug adverse events.The drug adverse events extraction is to grasp the patient's comment text on the drug,carry out frame semantic analysis,construct a vocabulary and adverse events template,summarize and contrast the extracted event results,and draw relevant conclusions.The extraction of adverse drug events can detect the potential safety hazards of drugs in a timely manner,effectively improve the efficiency of government monitoring,reduce the continuation of physiology caused by ignorance,and provide supervisors,producers and researchers,and circulation.Business,pharmacists,doctors,nurses,patients and consumers must learn from the group.Firstly,this paper reviews the current research status of adverse drug events extraction at home and abroad.Secondly,the related theories of framework semantics are summarized,and the text analysis process of adverse drug events based on framework semantics analysis is introduced.At the same time,the semantic classification vocabulary of adverse drug events is constructed to pave the way for the subsequent template construction of adverse drug events.Then,the template of adverse drug events is constructed according to the extracting elements derived from the flow chart of adverse drug events extraction,and the detailed step interpretation is carried out under the filling of the slot to provide standard data support for the follow-up experimental part.Grabbing the patients' commentary on a drug in social commentary and conducting experiments,The experimental results verify the validity of the extraction method.Finally,the research work is summarized,and the innovations and shortcomings are put forward.At the same time,the opinions on future research work are briefly expounded.Through the extraction of information on adverse drug events,it can contribute to the improvement of human health,and has high research value and significance.