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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 12
3735-3739

Research on entity recognition and knowledge graph construction based on electronic medical records

Huang Mengxinga,b
Li Menglonga,b
Han Huiruia,b
a. State Key Laboratory of Marine Resource Utilization in South China Sea, b. College of Information Science & Technology, Hainan University, Haikou 570228, China
DOI: 10.19734/j.issn.1001-3695.2018.07.0414

Abstract

Aiming at the problems in the research methods of named entity recognition and entity relationship extraction in Chinese electronic medical records), this paper proposed an entity identification and entity relationship based on bidirectional long short-term memory and conditional random field(CRF). The method first used word embedding technology to convert text into numerical vector, as the input of neural network BiLSTM, combined with CRF chain structure for sequence labeling, output the maximum probability sequence, and mapping the recognition result knowledge graph by using the database tool Neo4j. Experiments show that the method can significantly improve the accuracy, recall rate and F value of entity identification and entity relationship extraction in Chinese electronic medical records. The experimental results meet the needs of clinical system applications, and have a guiding role in helping to study and construct clinical decision support systems and personalized medical recommendation services.

Foundation Support

国家自然科学基金资助项目(61462022)
国家科技支撑计划资助项目(2015BAH55F04)
海南省重大科技计划资助项目(ZDKJ2016015)
海南省自然科学基金资助项目(617062)
海南省产学研一体化专项资助项目(cxy20150025)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0414
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3735-3739
Serial Number: 1001-3695(2019)12-045-3735-05

Publish History

[2019-12-05] Printed Article

Cite This Article

黄梦醒, 李梦龙, 韩惠蕊. 基于电子病历的实体识别和知识图谱构建的研究 [J]. 计算机应用研究, 2019, 36 (12): 3735-3739. (Huang Mengxing, Li Menglong, Han Huirui. Research on entity recognition and knowledge graph construction based on electronic medical records [J]. Application Research of Computers, 2019, 36 (12): 3735-3739. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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