Translation and localization of SNOMED CT in China: A pilot study

Zhu, Yanhui; Pan, Huiting; Zhou, Lei; Zhao, Wei; Chen, Ana; Andersen, Ulrich; Pan, Shuxiang; Li, Tian; Lei, Jianbo

doi:10.1016/j.artmed.2011.12.002

Cited by 7 publications

(8 citation statements)

References 5 publications

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“…A Chinese version of SCT could make up for the deficiency of Chinese EHR standards [10]. Though China is currently not the member of the International Health Terminology Standards Development Organisation (IHTSDO, who owns the SCT), the research is still a beneficial attempt for SCT localization in China.…”

Section: Discussionmentioning

confidence: 99%

“…The lacking of effective Chinese clinical terminology has become a major bottleneck for text information utilization in China [9]. Fortunately, once a clinical term in native language mapped to the SCT concepts, it could cross map to other international standards and classifications [10], such as the Unified Medical Language System (UMLS) and the Medical Subject Headings (MeSH). Nowadays, various studies have investigated for automatic methods to assist the translation of biomedical terminologies or create multilingual biomedical vocabularies [11].…”

Section: Introductionmentioning

confidence: 99%

“…As a result, its electronic version is seldom used. Another project of SCT localization, which involves machine translation, manual review and artificially synonyms adding, is still under way in China [10]. Other than that, the Chinese Unified Medical Language System (CUMLS) [18] or the Unified Traditional Chinese Medical Language System (UTCMLS) [19] are far from been established.…”

Section: Introductionmentioning

confidence: 99%

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Enriching the international clinical nomenclature with Chinese daily used synonyms and concept recognition in physician notes

Zhang

Liu

Huang

et al. 2017

BMC Med Inform Decis Mak

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BackgroundIt 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.MethodsThis 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.ResultsAround 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.ConclusionsThis 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.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Enriching the international clinical nomenclature with Chinese daily used synonyms and concept recognition in physician notes

Zhang

Liu

Huang

et al. 2017

BMC Med Inform Decis Mak

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“…As referenced in the IHTSDO web-page, the translation of SNOMED CT to other languages has been already performed using different techniques. These translations were done using exclusively automatic translation helping systems (this is the case of French [ 19 ]), combining automatic translation and manual work (that is the case of Chinese [ 18 ]), or manually (in Danish language for example [ 17 ]). In [ 20 ], three kinds of translations from English to German of a set of 500 SNOMED CT terms are compared: i) one translation was performed by professional medical translators, ii) another one used Google Translate [ 21 ] and, finally iii) medical students translated the same group of terms.…”

Section: Introductionmentioning

confidence: 99%

SNOMED CT in a language isolate: an algorithm for a semiautomatic translation

Perez-de-Viñaspre

Oronoz

2015

BMC Med Inform Decis Mak

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BackgroundThe Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) is officially released in English and Spanish. In the Basque Autonomous Community two languages, Spanish and Basque, are official. The first attempt to semi-automatically translate the SNOMED CT terminology content to Basque, a less resourced language is presented in this paper.MethodsA translation algorithm that has its basis in Natural Language Processing methods has been designed and partially implemented. The algorithm comprises four phases from which the first two have been implemented and quantitatively evaluated.ResultsResults are promising as we obtained the equivalents in Basque of 21.41% of the disorder terms of the English SNOMED CT release. As the methods developed are focused on that hierarchy, the results in other hierarchies are lower (12.57% for body structure descriptions, 8.80% for findings and 3% for procedures).ConclusionsWe are in the way to reach two of our objectives when translating SNOMED CT to Basque: to use our language to access rich multilingual resources and to strengthen the use of the Basque language in the biomedical area.

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“…These translations were done either manually (this is the case of the Danish language (Petersen, 2011)), combining automatic translation with manual work (in Chinese, for example (Zhu et al, 2012)), or using exclusively an automatic translation helping system (that is the case of French (Abdoune et al, 2011)). In the design of the translation task, we have followed the guidelines for the translation of SNOMED CT (Høy, 2010) published by the IHTSDO as it is recommended.…”

Section: Background and Significancementioning

confidence: 99%

Translating SNOMED CT Terminology into a Minor Language

Perez-de-Viñaspre¹,

Oronoz²

2014

Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis (Louhi)

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This paper presents the first attempt to semi-automatically translate SNOMED CT (Systematized Nomenclature of Medicine -Clinical Terms) terminology content to Basque, a less resourced language. Thus, it would be possible to build a new clinical healthcare terminology for Basque. We have designed the translation algorithm and the first two phases of the algorithm that feed the SNOMED CT's Terminology content, have been implemented (it is composed of four phases). The goal of the translation is twofold: the enforcement of the use of Basque in the bio-sanitary area and the access to a rich multilingual resource in our language.

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Translation and localization of SNOMED CT in China: A pilot study

Cited by 7 publications

References 5 publications

Enriching the international clinical nomenclature with Chinese daily used synonyms and concept recognition in physician notes

Enriching the international clinical nomenclature with Chinese daily used synonyms and concept recognition in physician notes

SNOMED CT in a language isolate: an algorithm for a semiautomatic translation

Translating SNOMED CT Terminology into a Minor Language

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