{"title":"使用可插拔组件可视化临床试验数据","authors":"Jonas Sjöbergh, M. Kuwahara, Yuzuru Tanaka","doi":"10.1109/IV.2012.56","DOIUrl":null,"url":null,"abstract":"We describe our system for visualizing data from clinical trials. The system is intended for clinicians with little or no knowledge of statistics, data mining, etc. The system is built using pluggable components, and it is easy to add more types of visualization. Currently the system supports interactive data exploration using for instance parallel coordinates, image maps, charts, and life tables. Grouping and filtering patients or subsets of data is easy and any changes are immediately reflected in all visualization tools currently used.","PeriodicalId":264951,"journal":{"name":"2012 16th International Conference on Information Visualisation","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Visualizing Clinical Trial Data Using Pluggable Components\",\"authors\":\"Jonas Sjöbergh, M. Kuwahara, Yuzuru Tanaka\",\"doi\":\"10.1109/IV.2012.56\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe our system for visualizing data from clinical trials. The system is intended for clinicians with little or no knowledge of statistics, data mining, etc. The system is built using pluggable components, and it is easy to add more types of visualization. Currently the system supports interactive data exploration using for instance parallel coordinates, image maps, charts, and life tables. Grouping and filtering patients or subsets of data is easy and any changes are immediately reflected in all visualization tools currently used.\",\"PeriodicalId\":264951,\"journal\":{\"name\":\"2012 16th International Conference on Information Visualisation\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 16th International Conference on Information Visualisation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IV.2012.56\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 16th International Conference on Information Visualisation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IV.2012.56","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visualizing Clinical Trial Data Using Pluggable Components
We describe our system for visualizing data from clinical trials. The system is intended for clinicians with little or no knowledge of statistics, data mining, etc. The system is built using pluggable components, and it is easy to add more types of visualization. Currently the system supports interactive data exploration using for instance parallel coordinates, image maps, charts, and life tables. Grouping and filtering patients or subsets of data is easy and any changes are immediately reflected in all visualization tools currently used.
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