A clinical decision support system for cancer diseases

Authors:
André Cid Ferrizzi;Toni Jardini;Leandro Rincon Costa;Jucimara Colombo;Edmundo Carvalho Mauad;Lígia Maria Kerr;Geraldo Santiago Hidalgo;Paula Rahal;Carlos Roberto Valêncio
Affiliations:
UNESP, São José do Rio Preto, São Paulo, Brazil;UNESP, São José do Rio Preto, São Paulo, Brazil;UNESP, São José do Rio Preto, São Paulo, Brazil;UNESP, São José do Rio Preto, São Paulo, Brazil;Hospital do Câncer de Barretos, Barretos, São Paulo, Brazil;Hospital do Câncer de Barretos, Barretos, São Paulo, Brazil;Hospital do Câncer de Barretos, Barretos, São Paulo, Brazil;UNESP, São José do Rio Preto, São Paulo, Brazil;UNESP, São José do Rio Preto, São Paulo, Brazil
Venue:
Proceedings of the 2008 Euro American Conference on Telematics and Information Systems
Year:
2008

Citing 4
Cited 0

Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development (3rd Edition)

Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development (3rd Edition)
Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques
A Guide To The Project Management Body Of Knowledge (PMBOK Guides)

A Guide To The Project Management Body Of Knowledge (PMBOK Guides)
The State Cancer Profiles web site and extensions of linked micromap plots and conditioned choropleth map plots

dg.o '03 Proceedings of the 2003 annual national conference on Digital government research

Quantified Score

Hi-index	0.00

Visualization

Abstract

The 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.