Journal of Jishou University(Natural Sciences Edition) ›› 2023, Vol. 44 ›› Issue (5): 28-34.DOI: 10.13438/j.cnki.jdzk.2023.05.004

• Computer • Previous Articles     Next Articles

Named Entity Recognition of Diabetes Online Health Community Based on BERT Model

LIANG Yujin,FU Chuanshan,CHEN Jinsong,CHEN Ming,ZHOU Yue,XU Qian   

  1. (1.School of Computer Science and Engineering,Jishou University,Jishou 416000,Hunan China;2.School of Medicine,Jishou University,Jishou 416000,Hunan China;3.Key Laboratory of Medical Information Research (Central South University),Changsha 410013,China)
  • Online:2023-09-25 Published:2023-11-21

Abstract: To address the issues of heterogeneous content,high complexity,and inability to recognize contextual semantics in diabetic patient-patient online health communities,the BERT-embedded BiLSTM-CRF model is used to recognize six types of entities from the text of the diabetic community "Sweet Home":disease,clinical manifestation,medicine,test,body parts,and emotion.The results demonstrate that the model achieved an accuracy rate of 90.8%,a recall rate of 76%,and a F1 value of 82.8%.The BERT-BiLSTM-CRF model has been shown to be useful for recognition and to serve as a benchmark for more personalized health information and services.

Key words: diabetes mellitus, online health community, named entity recognition, BERT model

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