Debora Lina Ciriaco, Alexandre Pessoa, L. Salvador, Renata Wassermann
{"title":"巴西公共卫生语义数据集成","authors":"Debora Lina Ciriaco, Alexandre Pessoa, L. Salvador, Renata Wassermann","doi":"10.52591/lxai2019061514","DOIUrl":null,"url":null,"abstract":"The lack of semantic information is a big challenge, even in context-driven areas like Healthcare, characterized by established terminologies. Here, semantic data integration is the solution to provide precise information and answers to questions like: What is the care pathway of newborns diagnosed with a congenital anomaly in consequence of congenital syphilis in the city of Sao Paulo? This project will use a semantic data integration technique, ontology based data integration, to integrate three health databases from the city of Sao Paulo - Brazil: mortality, live births and hospital information system. It is expected that the integration of public health databases will help to map patient care pathways, predict public resource needs and minimize unnecessary spending.","PeriodicalId":402227,"journal":{"name":"LatinX in AI at International Conference on Machine Learning 2019","volume":"313 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Semantic Data Integration for Public Health in Brazil\",\"authors\":\"Debora Lina Ciriaco, Alexandre Pessoa, L. Salvador, Renata Wassermann\",\"doi\":\"10.52591/lxai2019061514\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The lack of semantic information is a big challenge, even in context-driven areas like Healthcare, characterized by established terminologies. Here, semantic data integration is the solution to provide precise information and answers to questions like: What is the care pathway of newborns diagnosed with a congenital anomaly in consequence of congenital syphilis in the city of Sao Paulo? This project will use a semantic data integration technique, ontology based data integration, to integrate three health databases from the city of Sao Paulo - Brazil: mortality, live births and hospital information system. It is expected that the integration of public health databases will help to map patient care pathways, predict public resource needs and minimize unnecessary spending.\",\"PeriodicalId\":402227,\"journal\":{\"name\":\"LatinX in AI at International Conference on Machine Learning 2019\",\"volume\":\"313 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"LatinX in AI at International Conference on Machine Learning 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52591/lxai2019061514\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"LatinX in AI at International Conference on Machine Learning 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52591/lxai2019061514","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Semantic Data Integration for Public Health in Brazil
The lack of semantic information is a big challenge, even in context-driven areas like Healthcare, characterized by established terminologies. Here, semantic data integration is the solution to provide precise information and answers to questions like: What is the care pathway of newborns diagnosed with a congenital anomaly in consequence of congenital syphilis in the city of Sao Paulo? This project will use a semantic data integration technique, ontology based data integration, to integrate three health databases from the city of Sao Paulo - Brazil: mortality, live births and hospital information system. It is expected that the integration of public health databases will help to map patient care pathways, predict public resource needs and minimize unnecessary spending.