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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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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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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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Zhang, Y. (author), Zhang, D.W. (author), Lacoste-Julien, S. (author), Burghouts, G.J. (author), Snoek, C.G.M. (author)Most set prediction models in deep learning use set-equivariant operations, but they actually operate on multisets. We show that set-equivariant functions cannot represent certain functions on multisets, so we introduce the more appropriate notion of multiset-equivariance. We identify that the existing Deep Set Prediction Network (DSPN) can be...conference paper 2022
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- Slot, H. (author), Matthews, D. (author), Schipper, D. (author), van der Heide, E. (author) article 2021
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Glachs, D. (author), Namli, T. (author), Strohmeier, F. (author), Rodríguez Suárez, G. (author), Sluis, M. (author), Delgado-Lista, J. (author), Sont, J.K. (author), de Graaf, A.A. (author), Salzsieder, E. (author), Vogt, L. (author)The main objective of POWER2DM is to develop and validate a personalized self-management support system (SMSS) for T1 and T2 diabetes patients that combines and integrates i) a decision support system (DSS) based on leading European predictive personalized models for diabetes interlinked with predictive computer models, ii) automated e-coaching...bookPart 2021
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van der Burg, L.R.A. (author), van Kuijk, S.M.J. (author), ter Wee, M.M. (author), Heymans, M.W. (author), de Rijk, A.E. (author), Geuskens, G.A. (author), Ottenheijm, R.P.G. (author), Dinant, G.J. (author), Boonen, A. (author)Background: Societal expenditures on work-disability benefits is high in most Western countries. As a precursor of long-term work restrictions, long-term sickness absence (LTSA) is under continuous attention of policy makers. Different healthcare professionals can play a role in identification of persons at risk of LTSA but are not well trained....article 2020
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Byrne, F.P. (author), Nussbaumer, C.M. (author), Savin, E.J. (author), Milescu, R.A. (author), McElroy, C.R. (author), Clark, J.H. (author), van Vugt-Lussenburg, B.M.A. (author), van der Burg, B. (author), Meima, M.Y. (author), Buist, H.E. (author), Kroese, E.D. (author), Hunt, A.J. (author), Farmer, T.J. (author)Three dipolar aprotic solvents were designed to possess high dipolarity and low toxicity: N,N,N′,N′-tetrabutylsuccindiamide (TBSA), N,N′-diethyl-N,N′-dibutylsuccindiamide (EBSA), and N,N′-dimethyl-N,N′-dibutylsuccindiamide (MBSA). They were synthesized catalytically by using a K60 silica catalyst in a solventless system. Their water...article 2020
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Bosman, L.C. (author), Roelen, C.A.M. (author), Twisk, J.W.R. (author), Eekhout, I. (author), Heymans, M.W. (author)Purpose The aim of this study was to develop prediction models to determine the risk of sick leave due to musculoskeletal disorders (MSD) in non-sick listed employees and to compare models for short-term (i.e., 3 months) and long-term (i.e., 12 months) predictions. Methods Cohort study including 49,158 Dutch employees who participated in...article 2019
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Diepeveen, F.B. (author)Specific language impairment (SLI), or developmental language disorder, is the most prevalent development disorder in childhood. However, most children with SLI are detected late. Predictive properties of language milestones and risk factors for having SLI later in life were investigated in a nested case-control study. The outcomes showed that...doctoral thesis 2019
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Remmen, F. (author), Cara, I. (author), de Gelder, E. (author), Willemsen, D.M.C. (author)Truck platooning is gaining more and more interest thanks to the benefits on improved traffic efficiency, reduced fuel consumption and emissions. To gain these benefits, it typically involves small following distances . Due to the small following distances, the cut-in manoeuvre of target vehicles becomes safety critical and requires the...conference paper 2018
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Huysmans, M.A. (author), Eijckelhof, B.H.W. (author), Bruno Garza, J.L. (author), Coenen, P. (author), Blatter, B.M. (author), Johnson, P.W. (author), van Dieën, J.H. (author), van der Beek, A.J. (author), Dennerlein, J.T. (author)Objectives: Alternative techniques to assess physical exposures, such as prediction models, could facilitate more efficient epidemiological assessments in future large cohort studies examining physical exposures in relation to work-related musculoskeletal symptoms.The aim of this study was to evaluate two types of models that predict arm-wrist...article 2018
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Loh, K.K.L. (author), Shoeibi Omrani, P. (author), van der Linden, R.J.P. (author)The forecasting of gas production from mature gas wells, due to their complex end-of-life behaviour, is challenging and often associated with uncertainties (both measurements and modelling uncertainties). Yet, having good forecasts are crucial for operational decision making. In this paper, we present a purely black-box based approach, which...conference paper 2018
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de Wind, A. (author), Scharn, M. (author), Geuskens, G.A. (author), van der Beek, A.J. (author), Boot, C.R.L. (author)Background An increasing number of retirees continue to work beyond retirement despite being eligible to retire. As the prevalence of chronic disease increases with age, working beyond retirement may go along with having a chronic disease. Working beyond retirement may be different for retirees with and without chronic disease. We aim to...article 2018
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Brouwer, A.M. (author), van der Waa, J.S. (author), Hogervorst, M.A. (author), Cacace, A. (author), Stokking, H. (author)While brain signals potentially provide us with valuable information about a user, it is not straightforward to derive and use this information to smooth man-machine interaction in a real life setting. We here propose to predict head rotation on the basis of brain signals in order to improve images presented in a Head Mounted Display (HMD)....conference paper 2017
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Terluin, B. (author), Eekhout, I. (author), Terwee, C.B. (author)Objectives. Patients have their individual minimal important changes (iMICs) as their personal benchmarks to determine whether a perceived health-related quality of life (HRQOL) change constitutes a (minimally) important change for them. We denote the mean iMIC in a group of patients as the “genuine MIC” (gMIC). The aims of this paper are to...article 2017
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van Breugel, K. (author), Polder, R.B. (author), de Rooij, M.R. (author)For many concrete infrastructural works a service life of 80, 100 or 200 years is required. To convince owners and authorities that these requirements can be met probability-based models for service life predictions have been developed. These models are based on theoretical and experimental laboratory studies. Many of these models focus on the...conference paper 2017
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Brouwer, A.M. (author), van der Waa, J.S. (author), Hogervorst, M.A. (author), Cacace, A. (author), Stokking, H. (author)While brain signals potentially provide us with valuable information about a user, it is not straightforward to derive and use this information to smooth man-machine interaction in a real life setting. We here propose to predict head rotation on the basis of brain signals in order to improve images presented in a Head Mounted Display (HMD)....conference paper 2017