Enriching the international clinical nomenclature with Chinese daily used synonyms and concept recognition in physician notes.
Background: It has been shown that the entities in everyday clinical text are often expressed in a way that varies from how they are expressed in the nomenclature. Owing to lots of synonyms, abbreviations, medical jargons or even misspellings in the daily used physician notes in clinical information...
| Publicado en: | BMC Medical Informatics & Decision Making Vol. 17; pp. 1 - 17 |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
BioMed Central
5/2/2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=122931039&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 122931039 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14726947 1CI0 jtl: BMC Medical Informatics & Decision Making issn: 14726947 maglogo: N pubinfo: dt: 5/2/2017 vid: 17 pid: 24147 pub: BioMed Central artinfo: ui: 122931039 122931039 NLM28464923 122931039 10.1186/s12911-017-0455-z NLM28464923 122931039 ppf: 1 ppct: 16 formats: tig: atl: Enriching the international clinical nomenclature with Chinese daily used synonyms and concept recognition in physician notes. aug: au: Rui Zhang Jialin Liu Yong Huang Miye Wang Qingke Shi Jun Chen Zhi Zeng Zhang, Rui Liu, Jialin Huang, Yong Wang, Miye Shi, Qingke Chen, Jun Zeng, Zhi affil: Department of Medical Informatics, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China sug: subj: Semantics Vocabulary, Controlled International Relations Algorithms China Snomed ab: Background: It has been shown that the entities in everyday clinical text are often expressed in a way that varies from how they are expressed in the nomenclature. Owing to lots of synonyms, abbreviations, medical jargons or even misspellings in the daily used physician notes in clinical information system (CIS), the terminology without enough synonyms may not be adequately suitable for the task of Chinese clinical term recognition.Methods: This paper demonstrates a validated system to retrieve the Chinese term of clinical finding (CTCF) from CIS and map them to the corresponding concepts of international clinical nomenclature, such as SNOMED CT. The system focuses on the SNOMED CT with Chinese synonyms enrichment (SCCSE). The literal similarity and the diagnosis-related similarity metrics were used for concept mapping. Two CTCF recognition methods, the rule- and terminology-based approach (RTBA) and the conditional random field machine learner (CRF), were adopted to identify the concepts in physician notes. The system was validated against the history of present illness annotated by clinical experts. The RTBA and CRF could be combined to predict new CTCFs besides SCCSE persistently.Results: Around 59,000 CTCF candidates were accepted as valid and 39,000 of them occurred at least once in the history of present illness. 3,729 of them were accordant with the description in referenced Chinese clinical nomenclature, which could cross map to other international nomenclature such as SNOMED CT. With the hybrid similarity metrics, another 7,454 valid CTCFs (synonyms) were succeeded in concept mapping. For CTCF recognition in physician notes, a series of experiments were performed to find out the best CRF feature set, which gained an F-score of 0.887. The RTBA achieved a better F-score of 0.919 by the CTCF dictionary created in this research.Conclusions: This research demonstrated that it is feasible to help the SNOMED CT with Chinese synonyms enrichment based on physician notes in CIS. With continuous maintenance of SCCSE, the CTCFs could be precisely retrieved from free text, and the CTCFs arranged in semantic hierarchy of SNOMED CT could greatly improve the meaningful use of electronic health record in China. The methodology is also useful for clinical synonyms enrichment in other languages. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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