{"title":"基于医学图像网格的肺部疾病普查辅助系统","authors":"Hai Jin, Aobing Sun, Qin Zhang, Ran Zheng, R. He","doi":"10.1109/ACIIDS.2009.81","DOIUrl":null,"url":null,"abstract":"The large population exerts high burdens to Chinese health census works. In this paper, we propose our PDCAS (Pulmonary Disease Census Aiding System) based on Medical Image Grid, which aims to utilize the superiorities of grid technology to improve the efficiency of high-incidence and occupational pulmonary disease census. PDCAS integrates the individual medical information distributed in different hospitals’ information systems into Medical Information Centre of one area. The census records are classified through one risk rate based cross clustering model to direct the medical diagnosis and review. The main processing algorithms of PDCAS are subdivided and encapsulated as detachable web services with adapted granularity to support the grid workflow composition corresponding to different pulmonary diseases or aiding aims. The prototype of PDCAS proves the possible improvement of grid technology to diseases census and other data intensive medical applications.","PeriodicalId":275776,"journal":{"name":"2009 First Asian Conference on Intelligent Information and Database Systems","volume":"77 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pulmonary Disease Census Aiding System Based on Medical Image Grid\",\"authors\":\"Hai Jin, Aobing Sun, Qin Zhang, Ran Zheng, R. He\",\"doi\":\"10.1109/ACIIDS.2009.81\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The large population exerts high burdens to Chinese health census works. In this paper, we propose our PDCAS (Pulmonary Disease Census Aiding System) based on Medical Image Grid, which aims to utilize the superiorities of grid technology to improve the efficiency of high-incidence and occupational pulmonary disease census. PDCAS integrates the individual medical information distributed in different hospitals’ information systems into Medical Information Centre of one area. The census records are classified through one risk rate based cross clustering model to direct the medical diagnosis and review. The main processing algorithms of PDCAS are subdivided and encapsulated as detachable web services with adapted granularity to support the grid workflow composition corresponding to different pulmonary diseases or aiding aims. The prototype of PDCAS proves the possible improvement of grid technology to diseases census and other data intensive medical applications.\",\"PeriodicalId\":275776,\"journal\":{\"name\":\"2009 First Asian Conference on Intelligent Information and Database Systems\",\"volume\":\"77 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 First Asian Conference on Intelligent Information and Database Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACIIDS.2009.81\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 First Asian Conference on Intelligent Information and Database Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACIIDS.2009.81","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pulmonary Disease Census Aiding System Based on Medical Image Grid
The large population exerts high burdens to Chinese health census works. In this paper, we propose our PDCAS (Pulmonary Disease Census Aiding System) based on Medical Image Grid, which aims to utilize the superiorities of grid technology to improve the efficiency of high-incidence and occupational pulmonary disease census. PDCAS integrates the individual medical information distributed in different hospitals’ information systems into Medical Information Centre of one area. The census records are classified through one risk rate based cross clustering model to direct the medical diagnosis and review. The main processing algorithms of PDCAS are subdivided and encapsulated as detachable web services with adapted granularity to support the grid workflow composition corresponding to different pulmonary diseases or aiding aims. The prototype of PDCAS proves the possible improvement of grid technology to diseases census and other data intensive medical applications.
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