Thiago Fernandes de Freitas Dias, Domingos Alves, J. C. Felipe
{"title":"面向系统互操作性的卫生术语之间的映射方法","authors":"Thiago Fernandes de Freitas Dias, Domingos Alves, J. C. Felipe","doi":"10.1109/HEALTHCOM.2014.7001868","DOIUrl":null,"url":null,"abstract":"The translation or mapping between terminologies in healthcare is one of the ways to achieve semantic interoperability between information systems. Accordingly, we propose a method to assist the translation of terminologies based on the association rules mining in integrated databases containing data encoded with two different terminologies. This method also uses text search (string matching) between terms. The extracted rules proved the correct translation of some terms and when a valid rule could not be extracted, textual search proved to be a good resource. Further work will be undertaken to quantify the efficiency of the method through expert analysis.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Method for the mapping between health terminologies aiming systems interoperability\",\"authors\":\"Thiago Fernandes de Freitas Dias, Domingos Alves, J. C. Felipe\",\"doi\":\"10.1109/HEALTHCOM.2014.7001868\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The translation or mapping between terminologies in healthcare is one of the ways to achieve semantic interoperability between information systems. Accordingly, we propose a method to assist the translation of terminologies based on the association rules mining in integrated databases containing data encoded with two different terminologies. This method also uses text search (string matching) between terms. The extracted rules proved the correct translation of some terms and when a valid rule could not be extracted, textual search proved to be a good resource. Further work will be undertaken to quantify the efficiency of the method through expert analysis.\",\"PeriodicalId\":269964,\"journal\":{\"name\":\"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HEALTHCOM.2014.7001868\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HEALTHCOM.2014.7001868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Method for the mapping between health terminologies aiming systems interoperability
The translation or mapping between terminologies in healthcare is one of the ways to achieve semantic interoperability between information systems. Accordingly, we propose a method to assist the translation of terminologies based on the association rules mining in integrated databases containing data encoded with two different terminologies. This method also uses text search (string matching) between terms. The extracted rules proved the correct translation of some terms and when a valid rule could not be extracted, textual search proved to be a good resource. Further work will be undertaken to quantify the efficiency of the method through expert analysis.