Search Results - "van der Gaag, Linda C."

Pre-Existing Cardiovascular Conditions as Clinical Predictors of Myocarditis Reporting with Immune Checkpoint Inhibitors: A VigiBase Study by Noseda, Roberta, Ruinelli, Lorenzo, van der Gaag, Linda C., Ceschi, Alessandro

“…Although rare, immune checkpoint inhibitor (ICI)-related myocarditis can be life-threatening, even fatal. In view of increased ICI prescription, identification…”
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Computing short-interval transition matrices of a discrete-time Markov chain from partially observed data by Charitos, Theodore, de Waal, Peter R., van der Gaag, Linda C.

“…Markov chains constitute a common way of modelling the progression of a chronic disease through various severity states. For these models, a transition matrix…”
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Bayesian networks in biomedicine and health-care by Lucas, Peter J.F., van der Gaag, Linda C., Abu-Hanna, Ameen

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Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers by Bolt, Janneke H., van der Gaag, Linda C.

“…Multi-dimensional Bayesian network classifiers are Bayesian networks of restricted topological structure, which are tailored to classifying data instances into…”
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Sleep and sleep disorders during pregnancy and postpartum: The Life-ON study by Manconi, Mauro, van der Gaag, Linda C., Mangili, Francesca, Garbazza, Corrado, Riccardi, Silvia, Cajochen, Christian, Mondini, Susanna, Furia, Francesca, Zambrelli, Elena, Baiardi, Simone, Giordano, Alessandra, Rizzo, Nicola, Fonti, Cristina, Viora, Elsa, D'Agostino, Armando, Cicolin, Alessandro, Cirignotta, Fabio, Aquilino, Daniele, Barassi, Alessandra, del Giudice, Renata, Fior, Giulia, Gambini, Orsola, Giordano, Barbara, Martini, Alma, Serrati, Chiara, Stefanelli, Rossana, Scarone, Silvio, Canevini, Mariapaola, Fanti, Valentina, Stein, Hans-Christian, Marconi, Anna Maria, Raimondo, Erica, Viglietta, Emanuela, Santoro, Rossella, Simonazzi, Giuliana, Bianconcini, Alessandra, Meani, Francesco, Piazza, Nicoletta, Filippakos, Filippos, Gyr, Thomas

“…to prospectively assess sleep and sleep disorders during pregnancy and postpartum in a large cohort of women. multicenter prospective Life-ON study, recruiting…”
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Concise representations and construction algorithms for semi-graphoid independency models by Lopatatzidis, Stavros, van der Gaag, Linda C.

“…The conditional independencies from a joint probability distribution constitute a model which is closed under the semi-graphoid properties of independency…”
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Learning from incomplete data in Bayesian networks with qualitative influences by Masegosa, Andrés R., Feelders, Ad J., van der Gaag, Linda C.

“…Domain experts can often quite reliably specify the sign of influences between variables in a Bayesian network. If we exploit this prior knowledge in…”
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Convergence in Markovian models with implications for efficiency of inference by Charitos, Theodore, de Waal, Peter R., van der Gaag, Linda C.

“…Sequential statistical models such as dynamic Bayesian networks and hidden Markov models more specifically, model stochastic processes over time. In this…”
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An intercausal cancellation model for Bayesian-network engineering by Woudenberg, Steven P.D., van der Gaag, Linda C., Rademaker, Carin M.A.

“…When constructing Bayesian networks with domain experts, network engineers often use the noisy-OR model, and causal interaction models more generally, to…”
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Learning Bayesian network parameters under order constraints by Feelders, Ad, van der Gaag, Linda C.

“…We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences…”
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A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients by Charitos, Theodore, van der Gaag, Linda C., Visscher, Stefan, Schurink, Karin A.M., Lucas, Peter J.F.

“…Diagnosing ventilator-associated pneumonia in mechanically ventilated patients in intensive care units is seen as a clinical challenge. The difficulty in…”
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Enhanced qualitative probabilistic networks for resolving trade-offs by Renooij, Silja, van der Gaag, Linda C.

“…Qualitative probabilistic networks were designed to overcome, to at least some extent, the quantification problem known to probabilistic networks. Qualitative…”
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Properties of Sensitivity Analysis of Bayesian Belief Networks by Coupé, Veerle M.H, van der Gaag, Linda C

“…The assessments for the various conditional probabilities of a Bayesian belief network inevitably are inaccurate, influencing the reliability of its output. By…”
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Verifying monotonicity of Bayesian networks with domain experts by van der Gaag, Linda C., Tabachneck-Schijf, Hermina J.M., Geenen, Petra L.

“…In many realistic problem domains, the main variable of interest behaves monotonically in the observable variables, in the sense that higher values for the…”
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Library-style ontologies to support varying model views by van der Gaag, Linda C., Tabachneck-Schijf, Hermi J.M.

“…The next development in building Bayesian networks will most likely entail constructing multi-purpose models that can be employed for varying tasks and by…”
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Context-specific sign-propagation in qualitative probabilistic networks by Renooij, Silja, van der Gaag, Linda C., Parsons, Simon

“…Qualitative probabilistic networks are qualitative abstractions of probabilistic networks, summarising probabilistic influences by qualitative signs. As…”
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Introducing situational signs in qualitative probabilistic networks by Bolt, Janneke H., van der Gaag, Linda C., Renooij, Silja

“…A qualitative probabilistic network is a graphical model of the probabilistic influences among a set of statistical variables, in which each influence is…”
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Automated test selection in decision-support systems: a case study in oncology by Sent, Danielle, Van der Gaag, Linda C

“…Decision-support systems in medicine should be equipped with a facility that provides patient-tailored information about which test had best be performed in…”
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Generalised reliability characteristics for probabilistic networks by Sent, Danielle, van der Gaag, Linda C.

“…In the medical domain, establishing a diagnosis typically amounts to reasoning about the unobservable truth, based upon a set of indirect observations from…”
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Visual exploration of uncertainty in remote-sensing classification by Van der Wel, Frans J.M, Van der Gaag, Linda C, Gorte, Ben G.H

“…Exploratory analysis of remotely-sensed data aims at acquiring insight as to the stability of possible classifications of these data and their information…”
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