- document
-
de Bakker, Marie (author), Petersen, Teun B. (author), Rueten-Budde, Anja J. (author), Akkerhuis, K. Martijn (author), Umans, Victor A. (author), Brugts, Jasper J. (author), Germans, Tjeerd (author), Reinders, M.J.T. (author), Katsikis, Peter D. (author)Aims Risk assessment tools are needed for timely identification of patients with heart failure (HF) with reduced ejection fraction (HFrEF) who are at high risk of adverse events. In this study, we aim to derive a small set out of 4210 repeatedly measured proteins, which, along with clinical characteristics and established biomarkers, carry...journal article 2023
- document
-
Kartal, S. (author)Spatiotemporal time series prediction plays a crucial role in a wide range of applications. However, in most of the studies, spatial information was ignored and predictions were carried out either on a few points or on average values. In this study, 37 different configurations of 4 traditional ML models and 3 Neural Network (NN) based models...journal article 2023
- document
-
SUN, Beibei (author), DING, Luchuan (author), Ye, G. (author), De SCHUTTER, Geert (author)In this paper, 871 data were collected from literature and trained by the 4 representative machine learning methods, in order to build a robust compressive strength predictive model for slag and fly ash based alkali activated concretes. The optimum models of each machine learning method were verified by 4 validation metrics and further...journal article 2023
- document
-
Sun, Yubo (author), Cheng, H. (author), Zhang, Shizhe (author), Mohan, Manu K. (author), Ye, G. (author), De Schutter, Geert (author)Alkali-activated concrete (AAC) is regarded as a promising alternative construction material to reduce the CO<sub>2</sub> emission induced by Portland cement (PC) concrete. Due to the diversity in raw materials and complexity of reaction mechanisms, a commonly applied design code is still absent to date. This study attempts to directly...journal article 2023
- document
-
Ali, Khalid (author), Mensah, Ekow A. (author), McDermott, Eugene Ace (author), Kirkham, Frances A. (author), Stevenson, Jennifer (author), Hamer, Victoria (author), Parekh, Nikesh (author), Schiff, Rebekah (author), van der Cammen, T.J.M. (author)Background: Medication-related harm (MRH) is an escalating global challenge especially among older adults. The period following hospital discharge carries high-risk for MRH due to medication discrepancies, limited patient/carer education and support, and poor communication between hospital and community professionals. Discharge Medical...journal article 2022
- document
-
Liang, M. (author), Chang, Z. (author), Wan, Z. (author), Gan, Y. (author), Schlangen, E. (author), Šavija, B. (author)This study aims to provide an efficient and accurate machine learning (ML) approach for predicting the creep behavior of concrete. Three ensemble machine learning (EML) models are selected in this study: Random Forest (RF), Extreme Gradient Boosting Machine (XGBoost) and Light Gradient Boosting Machine (LGBM). Firstly, the creep data in...journal article 2022
- document
-
Liang, M. (author), Gan, Y. (author), Chang, Z. (author), Wan, Z. (author), Schlangen, E. (author), Šavija, B. (author)This study aims to provide an efficient alternative for predicting creep modulus of cement paste based on Deep Convolutional Neural Network (DCNN). First, a microscale lattice model for short-term creep is adopted to build a database that contains 18,920 samples. Then, 3 DCNNs with different consecutive convolutional layers are built to learn...journal article 2022
- document
-
Castillo, J.M. (author), Arif, M. (author), Starmans, M.P.A. (author), Niessen, W.J. (author), Bangma, C.H. (author), Schoots, Ivo G. (author), Veenland, J.F. (author)The computer-aided analysis of prostate multiparametric MRI (mpMRI) could improve significant-prostate-cancer (PCa) detection. Various deep-learning-and radiomics-based methods for significant-PCa segmentation or classification have been reported in the literature. To be able to assess the generalizability of the performance of these methods,...journal article 2022
- document
-
Li, Z. (author), Lu, T. (author), Chen, Y. (author), Wu, B. (author), Ye, G. (author)This study aims to predict the autogenous shrinkage of alkali-activated concrete (AAC) based on slag and fly ash. A variety of analytical and numerical models are available for the prediction of autogenous shrinkage of ordinary Portland cement (OPC) concrete, but these models are found to show dramatic discrepancies when applied for AAC due...journal article 2021
- document
-
Toodesh, R. (author), Verhagen, S. (author), Dagla, Anastasia (author)Guaranteeing safety of navigation within the Netherlands Continental Shelf (NCS), while efficiently using its ocean mapping resources, is a key task of Netherlands Hydrographic Service (NLHS) and Rijkswaterstaat (RWS). Resurvey frequencies depend on seafloor dynamics and the aim of this research is to model the seafloor dynamics to predict...journal article 2021
- document
-
Castillo, Jose M.T. (author), Arif, Muhammad (author), Niessen, W.J. (author), Schoots, Ivo G. (author), Veenland, J.F. (author)Significant prostate carcinoma (sPCa) classification based on MRI using radiomics or deep learning approaches has gained much interest, due to the potential application in assisting in clinical decision-making. Objective: To systematically review the literature (i) to determine which algorithms are most frequently used for sPCa classification...journal article 2020
- document
-
Cheng, D. (author), Liu, Z. (author)This paper presents our winning entry for the EVA 2019 data competition, the aim of which is to predict Red Sea surface temperature extremes over space and time. To achieve this, we used a stochastic partial differential equation (Poisson equation) based method, improved through a regularization to penalize large magnitudes of solutions. This...journal article 2020
- document
-
Hirvasniemi, J. (author), Gielis, W. P. (author), Arbabi, S. (author), Agricola, R. (author), van Spil, W. E. (author), Arbabi, V. (author), Weinans, Harrie (author)Objective: To assess the ability of radiography-based bone texture variables in proximal femur and acetabulum to predict incident radiographic hip osteoarthritis (rHOA) over a 10 years period. Design: Pelvic radiographs from CHECK at baseline (987 hips) were analyzed for bone texture using fractal signature analysis (FSA) in proximal femur...journal article 2019
- document
-
Achterberg, Hakim C. (author), Sørensen, Lauge (author), Wolters, Frank J. (author), Niessen, W.J. (author), Vernooij, Meike W. (author), Ikram, M. Arfan (author), Nielsen, Mads (author), de Bruijne, Marleen (author)Hippocampal volume and shape are known magnetic resonance imaging biomarkers of neurodegeneration. Recently, hippocampal texture has been shown to improve prediction of dementia in patients with mild cognitive impairment, but it is unknown whether texture adds prognostic information beyond volume and shape and whether the predictive value...journal article 2019
- document
-
Wang, Kan (author), Khodabandeh, Amir (author), Teunissen, P.J.G. (author), Nadarajah, Nandakumaran (author)The real-time kinematic precise point positioning (PPP-RTK) technique enables integer ambiguity resolution by providing singlereceiver users with information on the satellite phase biases next to the standard PPP corrections. Using undifferenced and uncombined observations, rank deficiencies existing in the design matrix need to be eliminated to...journal article 2018
- document
-
Yap, M.D. (author), Nijënstein, S. (author), van Oort, N. (author)The availability of smart card data from public transport travelling the last decades allows analyzing current and predicting future public transport usage. Public transport models are commonly applied to predict ridership due to structural network changes, using a calibrated parameter set. Predicting the impact of planned disturbances, like...journal article 2018
- document
-
Ghaemi, N. (author), Zilko, A.A. (author), Yan, F. (author), Cats, O. (author), Kurowicka, D. (author), Goverde, R.M.P. (author)Disruptions such as rolling stock breakdown, signal failures, and accidents are recurrent events during daily railway operation. Such events disrupt the deployment of resources and cause delay to passengers. Obtaining a reliable disruption length estimation can potentially reduce the negative impact caused by the disruption. Different factors...journal article 2018
- document
-
Guédon, A.C.P. (author), Paalvast, M.S.M. (author), Meeuwsen, F.C. (author), Tax, D.M.J. (author), van Dijke, A.P. (author), Wauben, L.S.G.L. (author), van der Elst, M. (author), Dankelman, J. (author), van den Dobbelsteen, J.J. (author)Operating Room (OR) scheduling is crucial to allow efficient use of ORs. Currently, the predicted durations of surgical procedures are unreliable and the OR schedulers have to follow the progress of the procedures in order to update the daily planning accordingly. The OR schedulers often acquire the needed information through verbal...journal article 2016
- document
-
Baart, F. (author), Van der Kaaij, T. (author), Van Ormondt, M. (author), Van Dongeren, A. (author), Van Koningsveld, M. (author), Roelvink, J.A. (author)Recent events like the Sumatra tsunami and Hurricane Katrina have reminded the world of the vulnerability of coastal areas to extreme events. Despite hydraulic engineering measures to minimize failure probability of coastal defence structures, a probability of failure, albeit small, remains. To assist local authorities and the population in...journal article 2009