dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorHospital do Câncer de Barretos
dc.date.accessioned2014-05-27T11:23:43Z
dc.date.available2014-05-27T11:23:43Z
dc.date.created2014-05-27T11:23:43Z
dc.date.issued2008-12-01
dc.identifierEATIS 2008 - Proceedings of the 2008 Euro American Conference on Telematics and Information Systems.
dc.identifierhttp://hdl.handle.net/11449/70690
dc.identifier10.1145/1621087.1621124
dc.identifier2-s2.0-70350680665
dc.identifier7991082362671212
dc.identifier4644812253875832
dc.identifier0000-0002-9325-3159
dc.identifier0000-0001-5693-6148
dc.description.abstractThe second main cause of death in Brazil is cancer, and according to statistics disclosed by National Cancer Institute from Brazil (INCA) 466,730 new cases of cancer are forecast for 2008. The analysis of tumour tissues of various types and patients' clinical data, genetic profiles, characteristics of diseases and epidemiological data may lead to more precise diagnoses, providing more effective treatments. In this work we present a clinical decision support system for cancer diseases, which manages a relational database containing information relating to the tumour tissue and their location in freezers, patients and medical forms. Furthermore, it is also discussed some problems encountered, as database integration and the adoption of a standard to describe topography and morphology. It is also discussed the dynamic report generation functionality, that shows data in table and graph format, according to the user's configuration. © ACM 2008.
dc.languageeng
dc.relationEATIS 2008 - Proceedings of the 2008 Euro American Conference on Telematics and Information Systems
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectBioinformatics
dc.subjectCancer Database
dc.subjectMedical information system
dc.subjectCancer disease
dc.subjectClinical data
dc.subjectClinical decision support systems
dc.subjectDatabase integration
dc.subjectDynamic reports
dc.subjectMedical forms
dc.subjectNational Cancer Institute
dc.subjectRelational Database
dc.subjectTumour tissue
dc.subjectArtificial intelligence
dc.subjectDatabase systems
dc.subjectDecision making
dc.subjectDecision support systems
dc.subjectDecision theory
dc.subjectTumors
dc.subjectInformation systems
dc.titleA clinical decision support system for cancer diseases
dc.typeActas de congresos


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