Searched for: subject%3A%22prediction%22
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Eekhout, I. (author), van Buuren, S. (author), Visser, B. (author), Bink, M.C.A.M. (author), Huisman, A. (author)
Intensive longitudinal data can be used to explore important associations and patterns between various types of inputs and outcomes. Nonlinear relations and irregular measurement occasions can pose problems to develop an accurate model for these kinds of data. This paper focuses on the development, fitting and evaluation of a prediction model...
article 2023
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Borsboom, W.A. (author), Kornaat, W. (author), van der Linden, R. (author), Eslami Mossallam, B. (author), de Gids, W. (author)
Control of HVAC systems may reduce congestion of the electricity grid on district level by shifting energy demand of buildings and increase the self-consumption of local photovoltaic energy. To achieve an optimal control of ventilation, occupant behaviour should be taken into account. To describe occupant behaviour, usually black box models are...
conference paper 2022
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Deng, T. (author), Manders, A.M. (author), Jin, J. (author), Lin, H.X. (author)
Ground-level ozone is a critical atmospheric pollutant, and high concentrations of ozone can damage human health, affect plant growth and cause ecological harm. Traditional chemical transport models and popular machine learning models have difficulty in predicting ozone concentrations, especially in times with high concentrations. We proposes a...
article 2022
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Huizing, A. (author), Welten, M. (author), Schönbeck, Y. (author), van Empelen, P. (author), Wahab, R. (author), Jaddoe, V. (author), van Buuren, S. (author)
Aims –Identification of children with an increased risk of future overweight or obesity enables targeted preventive strategies. The objective of this study is to develop a screening algorithm that can detect young children with a high risk on overweight or obesity at early adolescence (age 10 – 14 years). Materials and methods – We analyzed a...
conference paper 2022
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Fopma, A. (author), Cai, M. (author), van Buuren, S. (author), Vink, G. (author)
Curve matching is a prediction technique that relies on predictive mean matching, which matches donors that are most similar to a target based on the predictive distance. Even though this approach leads to high prediction accuracy, the predictive distance may make matches look unconvincing, as the profiles of the matched donors can substantially...
article 2022
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Cai, M. (author), van Buuren, S. (author), Vink, G. (author)
Missing data are often dealt with multiple imputation. A crucial part of the multiple imputation process is selecting sensible models to generate plausible values for incomplete data. A method based on posterior predictive checking is proposed to diagnose imputation models based on posterior predictive checking. To assess the congeniality of...
article 2022
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van der Ploeg, C. (author), Smit, R. (author), Teerhuis, A. (author), Silvas, E. (author)
Developing safe automated vehicles that can be proactive, safe, and comfortable in mixed traffic requires improved planning methods that are risk-averse and that account for predictions of the motion of other road users. To consider these criteria, in this article, we propose a nonlinear model-predictive trajectory generator scheme, which...
conference paper 2022
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Sanchez, M.M. (author), Elfring, J. (author), Silvas, E. (author), van de Molengraft, R. (author)
To operate safely, an automated vehicle (AV) must anticipate how the environment around it will evolve. For that purpose, it is important to know which prediction models are most appropriate for every situation. Currently, assessment of prediction models is often performed over a set of trajectories without distinction of the type of movement...
conference paper 2022
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Bos, J.E. (author), Driels, C (author), Souman, J.L. (author)
Motion sickness is known under several names in different domains, such as seasickness, carsickness, cybersickness, and simulator sickness. As we will argue, these can all be considered manifestations of one common underlying mechanism. In recent years, it has received renewed interest, largely due to the advent of automated vehicles and...
article 2022
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Weiland, R.F. (author), Polderman, T.J.C. (author), Smit, D.J.A. (author), Begeer, S. (author), van der Burg, E. (author)
To facilitate multisensory processing, the brain binds multisensory information when presented within a certain maximum time lag (temporal binding window). In addition, and in audiovisual perception specifically, the brain adapts rapidly to asynchronies within a single trial and shifts the point of subjective simultaneity. Both processes,...
article 2022
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van Dommelen, P. (author), Arnaud, L. (author), Koledova, E.B. (author)
Curve matching may be used to predict growth outcomes using data of patients whose growth curves resemble those of a new patient with growth hormone deficiency (GHD) and those born small for gestational age (SGA). We aimed to investigate the validity of curve matching to predict growth in patients with GHD and those born SGA receiving...
article 2022
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Terluin, B. (author), Eekhout, I. (author), Terwee, C.B. (author)
Objectives: The anchor-based minimal important change (MIC), based on the receiver operating characteristic (ROC) analysis or predictive modeling, is biased by the proportion of improved patients. The adjusted MIC, published in 2017, adjusts the predictive MIC for this bias but does not take the reliability of the transition ratings (i.e., the...
article 2022
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Bigaj - Van Vliet, A.J. (author), Allaix, D.L. (author), Kohler, D. (author), Scibilia, E. (author)
This contribution is outlining the vision and approach developed in the IM-SAFE project towards the standardisation of monitoring, data-informed safety assessment and predictive maintenance policies of bridges and tunnels considering the integration of digital innovations and reports on the initial activity in the IM-SAFE project [1] that is...
conference paper 2022
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Tabasi, A. (author), Lazzaroni, M. (author), Brouwer, N.P. (author), Kingma, I. (author), van Dijk, W. (author), de Looze, M.P. (author), Toxiri, S. (author), Ortiz, J. (author), van Dieën, J.H. (author)
The risk of low-back pain in manual material handling could potentially be reduced by back-support exoskeletons. Preferably, the level of exoskeleton support relates to the required muscular effort, and therefore should be proportional to the moment generated by trunk muscle activities. To this end, a regression-based prediction model of this...
article 2022
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Vals-Delgado, C. (author), Alcala-Diaz, J.F. (author), Molina-Abril, H. (author), Roncero-Ramos, I. (author), Caspers, M.P.M. (author), Schuren, F.H.J. (author), van den Broek, T.J. (author), Luque, R. (author), Perez-Martinez, P. (author), Katsiki, N. (author), Delgado-Lista, J. (author), Ordovas, J.M. (author), van Ommen, B. (author), Camargo, A (author), Lopez-Miranda, J. (author)
Introduction: A distinctive gut microbiome have been linked to type 2 diabetes mellitus (T2DM). Objectives: We aimed to evaluate whether gut microbiota composition, in addition to clinical biomarkers, could improve the prediction of new incident cases of diabetes in patients with coronary heart disease. Methods: All the patients from the...
article 2022
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van Walree, P.A. (author), Colin, M.E.G.D. (author)
A channel sounding and communications experiment was performed in the Oslofjord, using eight bottom-mounted instrument units deployed in a network configuration. Five units were equipped with a software-defined 4–8-kHz acoustic modem, programmed to transmit probe signals and communication packets in a round-robin fashion. All transmitted...
article 2022
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Ibrahim, A. (author), Goswami, D. (author), Li, H. (author), Basten, T. (author)
Vehicle platooning is an enabler technology for increasing road capacity, improving safety and reducing fuel consumption. Platoon control is a two-layered system where each layer runs under a different communication standard and rate - (i) the upper-layer operates under a specific V2V communication standard such as IEEE 802.11p and (ii) the...
article 2022
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von Benda-Beckmann, A.M. (author), Ketten, D.R. (author), Lam, F.P.A. (author), de Jong, C.A.F. (author), Muller, R.A.J. (author), Kastelein, R.A. (author)
Application of a kurtosis correction to frequency-weighted sound exposure level (SEL) improved predictions of risk of hearing damage in humans and terrestrial mammals for sound exposures with different degrees of impulsiveness. To assess whether kurtosis corrections may lead to improved predictions for marine mammals, corrections were applied to...
article 2022
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Nadi, A. (author), Sharma, S. (author), van Lint, J.W.C. (author), Tavasszy, L. (author), Snelder, M. (author)
This paper proposes a data-driven transport modeling framework to assess the impact of freight departure time shift policies. We develop and apply the framework around the case of the port of Rotterdam. Container transport demand data and traffic data from the surrounding network are used as inputs. The model is based on a graph convolutional...
article 2022
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Deng, T. (author), Manders-Groot, A.M.M. (author), Segers, A.J. (author), Bai, Y. (author), Lin, H.Q. (author)
Tropospheric ozone is a secondary pollutant which can affect human health and plant growth. In this paper, we investigated transferred convolutional neural network long short-term memory (TL-CNN-LSTM) model to predict ozone concentration. Hourly CNN-LSTM model is used to extract features and predict ozone for next hour, which is superior to...
conference paper 2021
Searched for: subject%3A%22prediction%22
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