Alexandru G. Floares


Clinical Decision Support Systems (CDSS) have the potential to replace painful, invasive, and costly procedures, to optimize medical decisions, improve medical care, and reduce costs. An even better strategy is to make use of a knowledge discovery in data approach, with the aid of artificial intelligence tools. This results in transforming conventional CDSS in Intelligent Clinical Decision Support (i-CDSS). Evolving i-CDSS give to the conventional CDSS the capability of self-modifying their rules set, through supervised learning from patients data. Intelligent and evolving CDSS represent a strong foundation for evidence-based medicine. We proposed a methodology of building i-CDSS and related concepts. These are illustrated with some of our results in liver diseases and prostate cancer, some of them showing the best published performance.


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Paper Citation

in Harvard Style

G. Floares A. (2010). INTELLIGENT CLINICAL DECISION SUPPORT SYSTEMS . In Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010) ISBN 978-989-674-016-0, pages 282-287. DOI: 10.5220/0002740802820287

in Bibtex Style

author={Alexandru G. Floares},
booktitle={Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010)},

in EndNote Style

JO - Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010)
SN - 978-989-674-016-0
AU - G. Floares A.
PY - 2010
SP - 282
EP - 287
DO - 10.5220/0002740802820287