{"title":"混合方法在临床诊断中的半自动分类","authors":"G. Héja, G. Surján","doi":"10.1109/CBMS.2002.1011403","DOIUrl":null,"url":null,"abstract":"The authors present a hybrid approach to assist the laborious work of coding of medical reports. The system consists of four components: an n-gram based module, a modified vector-space module, a neural module, and an XML representation of the ICD coding system. It supports the coding of clinical diagnoses to ICD.","PeriodicalId":369629,"journal":{"name":"Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Semi-automatic classification of clinical diagnoses with hybrid approach\",\"authors\":\"G. Héja, G. Surján\",\"doi\":\"10.1109/CBMS.2002.1011403\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors present a hybrid approach to assist the laborious work of coding of medical reports. The system consists of four components: an n-gram based module, a modified vector-space module, a neural module, and an XML representation of the ICD coding system. It supports the coding of clinical diagnoses to ICD.\",\"PeriodicalId\":369629,\"journal\":{\"name\":\"Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002)\",\"volume\":\"128 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CBMS.2002.1011403\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.2002.1011403","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Semi-automatic classification of clinical diagnoses with hybrid approach
The authors present a hybrid approach to assist the laborious work of coding of medical reports. The system consists of four components: an n-gram based module, a modified vector-space module, a neural module, and an XML representation of the ICD coding system. It supports the coding of clinical diagnoses to ICD.