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See detailModel-based computation of total stressed blood volume from a preload reduction manoeuvre
Pironet, Antoine ULg; Desaive, Thomas ULg; Chase, J. Geoffrey et al

in Mathematical Biosciences (2015), 265(0), 28-39

Total stressed blood volume is an important parameter for both doctors and engineers. From a medical point of view, it has been associated with the success or failure of fluid therapy, a primary treatment ... [more ▼]

Total stressed blood volume is an important parameter for both doctors and engineers. From a medical point of view, it has been associated with the success or failure of fluid therapy, a primary treatment to manage acute circulatory failure. From an engineering point of view, it dictates the cardiovascular system’s behavior in changing physiological situations. Current methods to determine this parameter involve repeated phases of circulatory arrests followed by fluid administration. In this work, a more straightforward method is developed using data from a preload reduction manoeuvre. A simple six-chamber cardiovascular system model is used and its parameters are adjusted to pig experimental data. The parameter adjustment process has three steps: (1) compute nominal values for all model parameters; (2) determine the five most sensitive parameters; and (3) adjust only these five parameters. Stressed blood volume was selected by the algorithm, which emphasizes the importance of this parameter. The model was able to track experimental trends with a maximal root mean squared error of 29.2%. Computed stressed blood volume equals 486 ± 117 ml or 15.7 ± 3.6 ml/kg, which matches previous independent experiments on pigs, dogs and humans. The method proposed in this work thus provides a simple way to compute total stressed blood volume from usual hemodynamic data. [less ▲]

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See detailModel-Based Decision Support Algorithm to Guide Fluid Resuscitation
Pironet, Antoine ULg; Dauby, Pierre ULg; MORIMONT, Philippe ULg et al

Conference (2016, June 02)

Fluid resuscitation is the first choice therapy for sepctic shock. However, fluid infusion only increases cardiac output in approximately 50 % of cases, while an excess of fluid can have harmful effects ... [more ▼]

Fluid resuscitation is the first choice therapy for sepctic shock. However, fluid infusion only increases cardiac output in approximately 50 % of cases, while an excess of fluid can have harmful effects. Therefore, clinicians are looking for indices to predict the effect of fluid infusion on cardiac output, before giving fluid. In this work, a minimal mathematical model of the cardiovascular system is used, representing the heart, an artery and a vein. The nine model parameters, including total stressed blood volume, are identified from experimental data. The experimental data was recorded during three 500 ml fluid infusions on two pigs infected with endotoxin, to simulate septic shock. The total stressed blood volume parameter is negatively associated with the change in cardiac output after fluid infusion, as observed in previous studies. Subsequently, an algorithm is proposed to guide fluid resuscitation, based on the value of this parameter. The use of the algorithm results in 60 % less fluid being given with virtually no effect on cardiac output. The decision algorithm has the potential to be used in human clinical trials since the data required for parameter identification can be obtained in an intensive care unit. [less ▲]

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See detailModel-based Design and Verification of Security Protocols using LOTOS
Germeau, François; Leduc, Guy ULg

in Design and Formal Verification of Security Protocols (1997, September)

We explain how the formal language LOTOS can be used to specify security protocols and cryptographic operations. We describe how to model security properties as safety properties and how a model-based ... [more ▼]

We explain how the formal language LOTOS can be used to specify security protocols and cryptographic operations. We describe how to model security properties as safety properties and how a model-based verification method can be used to verify the robustness of a protocol against attacks of an intruder. We illustrate our technique on a concrete registration protocol. We find a simpler protocol that remains secure, and a more sophisticated protocol that allows a better distinction between intruder's attacks and ordinary errors. [less ▲]

Detailed reference viewed: 35 (3 ULg)
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See detailModel-based detection of pulmonary embolism using an extended physiologically relevant, cardiovascular model
Kok, K.; Starfinger, C.; Hann, C. E. et al

in Proceedings of Engineering & Physical Sciences in Medicine and Australian Biomedical Engineering Conference (EPSM ABEC 2008) (2008)

Detailed reference viewed: 19 (0 ULg)
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See detailModel-based diagnosis of acute pulmonary embolism - results from a porcine model
Desaive, Thomas ULg; Ghuysen, Alexandre ULg; Kolh, Philippe ULg et al

in Intensive Care Medicine (2008), 34(suppl. 1), 78

Detailed reference viewed: 23 (2 ULg)
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See detailModel-based diagnosis of acute pulmonary embolism and septic shock in porcine trials
Revie, JA; Stevenson, D; Chase, JG et al

in Proceedings of the Health Research Society of Christchurch Annual Scientific Session 2011 (2011)

Detailed reference viewed: 22 (2 ULg)
See detailModel-based Experimental Target Recognition System
Dudgeon, Dan E.; Delanoy, Richard L.; Verly, Jacques ULg

Scientific conference (1989, May)

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See detailModel-based geometry optimization on a Nitsch cell using the Fisher information matrix.
Bertakis, Evangelos; Kalem, Murat; Pfennig, Andreas ULg

in Chemical Engineering Science (2008), 63(19), 4881-4887

In order to experimentally estimate the rate-determining steps and the kinetic parameters of interfacial reaction models, e.g. for the design of reactive-extraction equipment, the Nitsch cell and its ... [more ▼]

In order to experimentally estimate the rate-determining steps and the kinetic parameters of interfacial reaction models, e.g. for the design of reactive-extraction equipment, the Nitsch cell and its variants are broadly used. In the present study, an optimized Nitsch cell was designed with the help of a kinetic model from the literature to improve the quality of the measurements for the case of the system Zn/D2EHPA, which is a standard test system in reactive extraction. The determinant of the Fisher information matrix was used as a measure of the expected information obtained from the experiments as a function of apparatus geometry. Design parameters like the organic and inorganic phase volumes and the interfacial area between them have been optimized by maximizing the information obtained in each experiment. The results lead to an ideal geometry for such an apparatus, and show that significant improvement compared to current common practice is possible. [less ▲]

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See detailModel-based glycemic control in critical care
Pretty, Christopher ULg; Penning, Sophie ULg; Le Compte, Aaron J. et al

Poster (2012, December)

Detailed reference viewed: 26 (4 ULg)
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See detailModel-based glycemic control in critical care
Pretty, Christopher ULg; Penning, Sophie ULg; Le Compte, Aaron J. et al

in Proceedings of the 11th Belgian Day on Biomedical Engineering (2012, December)

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See detailModel-based identification and diagnosis of a porcine model of induced endotoxic shock with hemofiltration
Starfinger, C.; Chase, J. G.; Hann, C. E. et al

in Mathematical Biosciences (2008), 216(2), 132-139

Detailed reference viewed: 27 (14 ULg)
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See detailModel-Based Ladar ATR Using Functional Templates
Verly, Jacques ULg

Conference (1996, September)

Detailed reference viewed: 11 (1 ULg)
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See detailA model-based methodology for assessing market response for new industrial products
Choffray, Jean-Marie ULg; Lilien, Gary L.

in Sheth, Jagdish N. (Ed.) Research in Marketing (1980)

This paper details the structure of an operational model of industrial response to marketing strategy. Methods for structuring and calibrating the various submodels are discussed, as are the associated ... [more ▼]

This paper details the structure of an operational model of industrial response to marketing strategy. Methods for structuring and calibrating the various submodels are discussed, as are the associated measurements. [less ▲]

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See detailModel-based Monitoring of Septic Shock Treated with Large-Pore Hemofiltration Therapy
Revie; Stevenson, D; Chase, JG et al

in Proceedings of BMS 2012 (2012)

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See detailModel-Based Multifactor Dimensionality Reduction for detecting epistasis in case-control data in the presence of noise
Cattaert, Tom ULg; Calle, Luz M; Dudek, Scott T et al

in Annals of Human Genetics (2011), 75(1), 78-89

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See detailModel-Based Multifactor Dimensionality Reduction for detecting interactions in high-dimensional genomic data.
Calle, M L; Urrea, V; Vellalta, G et al

Report (2008)

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See detailModel-Based Multifactor Dimensionality Reduction to detect epistasis for quantitative traits in the presence of error-free and noisy data.
Mahachie John, Jestinah ULg; Van Lishout, François ULg; Van Steen, Kristel ULg

in European Journal of Human Genetics (2011), 19

Detecting gene-gene interactions or epistasis in studies of human complex diseases is a big challenge in the area of epidemiology. To address this problem, several methods have been developed, mainly in ... [more ▼]

Detecting gene-gene interactions or epistasis in studies of human complex diseases is a big challenge in the area of epidemiology. To address this problem, several methods have been developed, mainly in the context of data dimensionality reduction. One of these methods, Model-Based Multifactor Dimensionality Reduction, has so far mainly been applied to case-control studies. In this study, we evaluate the power of Model-Based Multifactor Dimensionality Reduction for quantitative traits to detect gene-gene interactions (epistasis) in the presence of error-free and noisy data. Considered sources of error are genotyping errors, missing genotypes, phenotypic mixtures and genetic heterogeneity. Our simulation study encompasses a variety of settings with varying minor allele frequencies and genetic variance for different epistasis models. On each simulated data, we have performed Model-Based Multifactor Dimensionality Reduction in two ways: with and without adjustment for main effects of (known) functional SNPs. In line with binary trait counterparts, our simulations show that the power is lowest in the presence of phenotypic mixtures or genetic heterogeneity compared to scenarios with missing genotypes or genotyping errors. In addition, empirical power estimates reduce even further with main effects corrections, but at the same time, false-positive percentages are reduced as well. In conclusion, phenotypic mixtures and genetic heterogeneity remain challenging for epistasis detection, and careful thought must be given to the way important lower-order effects are accounted for in the analysis.European Journal of Human Genetics advance online publication, 16 March 2011; doi:10.1038/ejhg.2011.17. [less ▲]

Detailed reference viewed: 67 (21 ULg)