{"title":"基于疾病表型,病因学和疾病名称中的位置线索的疾病相似度计算的实用方法","authors":"Mai Omura, N. Sonehara, T. Okumura","doi":"10.1109/BIBM.2016.7822659","DOIUrl":null,"url":null,"abstract":"Disease similarity is a useful measure to improve clinical decision support systems wherein it allows continuous presentation of similar diseases. In a previous study, we demonstrated that etiological and symptomatic information of diseases provide a reasonable approximation for the similarity of diseases. This study extends the previously proposed approach by incorporating the locational information of diseases, which may improve the performance against the baseline achieved only by the etiological and symptomatic features.","PeriodicalId":345384,"journal":{"name":"2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Practical approach for disease similarity calculation based on disease phenotype, etiology, and locational clues in disease names\",\"authors\":\"Mai Omura, N. Sonehara, T. Okumura\",\"doi\":\"10.1109/BIBM.2016.7822659\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Disease similarity is a useful measure to improve clinical decision support systems wherein it allows continuous presentation of similar diseases. In a previous study, we demonstrated that etiological and symptomatic information of diseases provide a reasonable approximation for the similarity of diseases. This study extends the previously proposed approach by incorporating the locational information of diseases, which may improve the performance against the baseline achieved only by the etiological and symptomatic features.\",\"PeriodicalId\":345384,\"journal\":{\"name\":\"2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIBM.2016.7822659\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBM.2016.7822659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Practical approach for disease similarity calculation based on disease phenotype, etiology, and locational clues in disease names
Disease similarity is a useful measure to improve clinical decision support systems wherein it allows continuous presentation of similar diseases. In a previous study, we demonstrated that etiological and symptomatic information of diseases provide a reasonable approximation for the similarity of diseases. This study extends the previously proposed approach by incorporating the locational information of diseases, which may improve the performance against the baseline achieved only by the etiological and symptomatic features.