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Addressing Hospital Acquired Infection Control through Risk Patterns Detection in Medical Reports

Denys Proux, Frederique Segond, Solweig Gerbier, Marie Hélène Metzger
Hospital Acquired Infections (HAI) is a real burden for doctors and risk surveillance experts. The impact on patients’ health and related healthcare cost is very significant and a major concern even for rich countries. Furthermore required data to evaluate the threat is generally not available to experts and that prevents from fast reaction. However, recent advances in Computational Intelligence Techniques such as Information Extraction, Risk Patterns Detection in documents and Decision Support Systems allow now to address this problem.
IEEE WCCI 2008 (Workshop of the World Congress on Computational Intelligence) HonKong, June 1-6, 2008


2008-012.pdf (93.15 kB)