Titlebook: Artificial Intelligence in Medicine; 11th Conference on A Riccardo Bellazzi,Ameen Abu-Hanna,Jim Hunter Conference proceedings 2007 Springer

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Cryptanalysis of the DECT Standard Ciphernt method for obtaining such individual prognoses is to analyze historical data using Cox regression, and apply the resulting model to data from new patients. However, the black-box nature of the Cox regression model makes it unattractive for clinical practice. Instead most physicians prefer to rela

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Sebastiaan Indesteege,Bart Preneeloving the diagnosis, treatment and prognosis of disease in patients. One way to achieve these aims is by explicitly modelling disease processes; several researchers have advocated the use of dynamic Bayesian networks for this purpose because of the versatility and expressiveness of this time-oriente

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Eli Biham,Orr Dunkelman,Nathan Kellerterns of the daily Sequential Organ Failure Assessment (SOFA) scores can improve predictions. However, the derangement of the six individual organ systems underlying the calculation of a SOFA score were not taken into account, thus impeding the understanding of their prognostic merits. In this paper

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Ross Anderson,Charalampos Manifavasss the problem of distinguishing between thrombolic brain stroke and embolic brain stroke as an application of our approach of contrast set mining through subgroup discovery. We describe methodological lessons learned in the analysis of brain ischaemia data and a practical implementation of the appr

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,Chameleon — A new kind of stream cipher,lly available monitoring systems are usually based on simple thresholds set by the clinical staff. Though there are some more advanced alarm rules integrated in modern monitoring devices, even for those, the false alarm rate is very high. Decision trees have proven suitable for alarm classification

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