{"title":"基于医疗大数据的综合检索系统","authors":"Song Yu","doi":"10.1145/3387168.3387220","DOIUrl":null,"url":null,"abstract":"This paper presented an integrated retrieval system based on medical big data, aiming at the characteristics of medical data, such as diversity, large quantity and complex structure. The data center is built with data extraction module and data storage module in the system. The index module is built based on Solr and the data is presented in a webpage. The system keeps proper loose coupling among modules with high availability and extension. In a hospital application environment, this system realizes the function of real-time retrieval, and provides effective support for clinical decision.","PeriodicalId":346739,"journal":{"name":"Proceedings of the 3rd International Conference on Vision, Image and Signal Processing","volume":"129 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrated Retrieval System Based on Medical Big Data\",\"authors\":\"Song Yu\",\"doi\":\"10.1145/3387168.3387220\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presented an integrated retrieval system based on medical big data, aiming at the characteristics of medical data, such as diversity, large quantity and complex structure. The data center is built with data extraction module and data storage module in the system. The index module is built based on Solr and the data is presented in a webpage. The system keeps proper loose coupling among modules with high availability and extension. In a hospital application environment, this system realizes the function of real-time retrieval, and provides effective support for clinical decision.\",\"PeriodicalId\":346739,\"journal\":{\"name\":\"Proceedings of the 3rd International Conference on Vision, Image and Signal Processing\",\"volume\":\"129 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd International Conference on Vision, Image and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3387168.3387220\",\"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 the 3rd International Conference on Vision, Image and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3387168.3387220","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integrated Retrieval System Based on Medical Big Data
This paper presented an integrated retrieval system based on medical big data, aiming at the characteristics of medical data, such as diversity, large quantity and complex structure. The data center is built with data extraction module and data storage module in the system. The index module is built based on Solr and the data is presented in a webpage. The system keeps proper loose coupling among modules with high availability and extension. In a hospital application environment, this system realizes the function of real-time retrieval, and provides effective support for clinical decision.