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Editorial: Leveraging artificial intelligence and open science for toxicological risk assessment

Marc Teunis (Onderzoeker); Thomas Luechtefeld (Onderzoeker); Thomas Hartung (Onderzoeker)

Editorial on the Research Topic "Leveraging artificial intelligence and open science for toxicological risk assessment"

2025TechniekArtikel

Towards continuous mental state detection in everyday settings: investigating between-subjects variations in a longitudinal study

Berkemeier, Lea (Digital Health); Kamphuis, Wim; de Vries, Herman; Brouwer, Anne-Marie; van Baardewijk, Jan Ubbo; Schadd, Maarten; Oldenhuis, Hilbrand (Digital Health); Verdaasdonk, Ruud; van Gemert-Pijnen, Lisette

Maintaining mental health can be quite challenging, especially when exposed to stressful situations. In many cases, mental health problems are recognized too late to effectively intervene and prevent adverse outcomes. Recent advances in the availability and reliability of wearable technologies offer …

2023-01-01AlgemeenConferentiebijdrage

Development and internal validation of a machine learning prediction model for low back pain non-recovery in patients with an acute episode consulting a physiotherapist in primary care

Hoogeboom, T.J. (Thomas) (Phd); Lankveld, W. (Wim) van (Phd); Knoop, J (Jesper) (Phd); Hoppenbrouwers, S. (Stijn) (Phd); Heymans, M.W. (M.) (Phd); Overmeeren, E. (Elon) van (Extern); Veenhof, C. (Cindy) (Lector); Sappelli, M. (Maja) (Onderzoeker); Wees, P.J. (Philip) van der (Professor); Soer, (Remko) (Associate Lector); Beijer, ( Lilian) (Extern); Geerdink, (Frank) (Onderzoeker); Vissers, (Kris) (Extern); Staal, (Bart) (Extern); Mittendorff, ( Kariene ) (Associate Lector); Holkenborg, (Kris)

Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain …

2022-09-01AlgemeenArtikel

A Comparison of Different Modeling Techniques in Predicting Mortality With the Tilburg Frailty Indicator

Tjeerd van der Ploeg (Lid Lectoraat); Robbert Gobbens (Lector)

Background: Modern modeling techniques may potentially provide more accurate predictions of dichotomous outcomes than classical techniques. Objective: In this study, we aimed to examine the predictive performance of eight modeling techniques to predict mortality by frailty. Methods: We performed a …

2022-03-30GezondheidArtikel

Development and internal validation of a machine learning prediction model for low back pain non-recovery in patients with an acute episode consulting a physiotherapist in primary care

J. Knoop; Wim van Lankveld; Lilian Beijer; F.J.B Geerdink; M.W. Heymans; T.J. Hoogeboom; Stijn Hoppenbrouwers; E. van Overmeeren; R Soer; C. Veenhof; K.C.P Vissers; P. J. van der Wees; Maya Sappelli; Bart Staal

2022AlgemeenArtikel

Computational design applied to small room acoustics: creating and evaluating custom solutions

Bors, Valentijn (Lectoraat Circulair Ontwerpen En Ondernemen); Bors, Sebastiaan

This paper evaluates a design procedure which is able to scale one-dimensional quadratic-residue diffusers, with integrated Helmholtz resonators. These acoustic structures can be tuned to room modes while fitting within a specified volume. An algorithmic solver is used to control geometric parameters …

2021-09-25AlgemeenConferentiebijdrage

Ethical frameworks in lung cancer survival

Krijn van der Burg (Student); Chris Geene (Begeleider)

Van der Burg's study delved into the potential connection between overall survival and patient characteristics, along with radiation dose to the body in lung cancer patients undergoing various treatment schedules. In conclusion, patient characteristics and radiomics data exhibit predictive values for …

2019-01-14ICT & Media; …Stageverslag

Social Media, Distracting or Engaging?

Wesseling, Nathalie (Faculteit Digitale Media En Creatieve Industrie (Fdmci))

As part of my PhD research, I investigate the factors of student success and the influence of the use of social media by first year students in higher education. For this I use the insights provided by the highly influential and leading integration theory of Tinto and diminished the amount of variables …

2018AlgemeenConferentiebijdrage

Longitudinal study of repeated sprint performance in youth soccer players of contrasting maturity status

V. Duarte; J. Valente dos Santos; V. Severino; Marije Elferink-Gemser; R. Philippaerts; M. Coelho e Silva; A. Seabra; A. Figueiredo; S. Cumming; R. Martins

The purpose of the study was to evaluate the developmental changes in performance in a repeated-sprint ability (RSA) test in young soccer players of contrasting maturity status. A total of 83 regional level Portuguese youth soccer players, aged 11- 13 years at baseline was assessed annually. Stature, …

2012AlgemeenArtikel

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