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pro vyhledávání: '"Wynants P"'
Autor:
Maria Bostenaru Dan
Publikováno v:
Urbanism. Arhitectura. Constructii, Vol 16, Iss 1, Pp 83-86 (2025)
This is a review of a book about the interpretation of disasters in art and architecture. The book was a result of one of the first conferences of this kind in Gent, Belgium.
Externí odkaz:
https://doaj.org/article/2764e02753b24ea8857616fcae6ca20f
Akademický článek
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Autor:
Van Calster, Ben, Collins, Gary S., Vickers, Andrew J., Wynants, Laure, Kerr, Kathleen F., Barreñada, Lasai, Varoquaux, Gael, Singh, Karandeep, Moons, Karel G. M., Hernandez-boussard, Tina, Timmerman, Dirk, Mclernon, David J., Van Smeden, Maarten, Steyerberg, Ewout W.
A myriad of measures to illustrate performance of predictive artificial intelligence (AI) models have been proposed in the literature. Selecting appropriate performance measures is essential for predictive AI models that are developed to be used in m
Externí odkaz:
http://arxiv.org/abs/2412.10288
Autor:
Benitez-Aurioles, Jose, Wynants, Laure, Peek, Niels, Goodley, Patrick, Crosbie, Philip, Sperrin, Matthew
Clinical prognostic models help inform decision-making by estimating a patient's risk of experiencing an outcome in the future. The net benefit is increasingly being used to assess the clinical utility of models. By calculating an appropriately weigh
Externí odkaz:
http://arxiv.org/abs/2412.07882
Autor:
Riley, Richard D, Collins, Gary S, Whittle, Rebecca, Archer, Lucinda, Snell, Kym IE, Dhiman, Paula, Kirton, Laura, Legha, Amardeep, Liu, Xiaoxuan, Denniston, Alastair, Harrell Jr, Frank E, Wynants, Laure, Martin, Glen P, Ensor, Joie
When developing a clinical prediction model, the sample size of the development dataset is a key consideration. Small sample sizes lead to greater concerns of overfitting, instability, poor performance and lack of fairness. Previous research has outl
Externí odkaz:
http://arxiv.org/abs/2407.09293
Prediction models are used to predict an outcome based on input variables. Missing data in input variables often occurs at model development and at prediction time. The missForestPredict R package proposes an adaptation of the missForest imputation a
Externí odkaz:
http://arxiv.org/abs/2407.03379
Autor:
Gao, Shan, Albu, Elena, Putter, Hein, Stijnen, Pieter, Rademakers, Frank, Cossey, Veerle, Debaveye, Yves, Janssens, Christel, Van Calster, Ben, Wynants, Laure
Objective Hospitals register information in the electronic health records (EHR) continuously until discharge or death. As such, there is no censoring for in-hospital outcomes. We aimed to compare different dynamic regression modeling approaches to pr
Externí odkaz:
http://arxiv.org/abs/2405.01986
Autor:
Albu, Elena, Gao, Shan, Stijnen, Pieter, Rademakers, Frank, Janssens, Christel, Cossey, Veerle, Debaveye, Yves, Wynants, Laure, Van Calster, Ben
Prognostic outcomes related to hospital admissions typically do not suffer from censoring, and can be modeled either categorically or as time-to-event. Competing events are common but often ignored. We compared the performance of random forest (RF) m
Externí odkaz:
http://arxiv.org/abs/2404.16127
Akademický článek
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