Construction knowledge graphs of hepatitis B prevention strate-gies based on clinical practice guidelines/expert consensus
Objective To explore the association between hepatitis B prevention strategies in different popula-tions and to provide a scientific basis for decision-making and practice in this field.Method Through a retriev-al of Chinese and international hepatitis B guidelines and expert consensus,recommendations for hepatitis B prevention were extracted along with the entity,relationship and attribute data.Subsequently,via the py2neo library in Python the data was imported into the Neo4j graph database to build visual knowledge graphs.Results A total of 8 databases and 12 official websites were searched,resulting in an acquisition of 6 Chinese guidelines,2 Chinese expert consensuses,16 English guidelines and 2 English expert consensuses,from which 260 prevention-related recommendations were extracted.Based on them,8 entities including popula-tion,special populations,virus-testing operations,medical interventions,drug classes,specific drug names,timing and level of recommendation were extracted,along with 6 types of relationships such as operation selection,optimal timing of operations,medication selection,timing of medication,implement,and inclusion.Ultimately,knowledge graphs for screening,vaccination,mother-to-child transmission prevention,manage-ment strategies,and post-exposure prevention were constructed to provide corresponding hepatitis B preven-tion strategies for different population groups.Conclusion The construction of the hepatitis B prevention strategy knowledge graphs facilitates healthcare workers and the public in better understanding hepatitis B prevention measures.It also provides a scientific basis for decision-makers to formulate more targeted and effective hepatitis B prevention and control strategies,thereby promoting comprehensive and sustainable development in hepatitis B prevention and control efforts.
万方数据
维普
