Zobrazeno 1 - 10
of 445
pro vyhledávání: '"Wynants P"'
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
In designing external validation studies of clinical prediction models, contemporary sample size calculation methods are based on the frequentist inferential paradigm. One of the widely reported metrics of model performance is net benefit (NB), and t
Externí odkaz:
http://arxiv.org/abs/2401.01849
Autor:
Daniek A. M. Meijs, Laure Wynants, Sander M. J. van Kuijk, Clarissa I. E. Scheeren, Anisa Hana, Jannet Mehagnoul-Schipper, Björn Stessel, Margot Vander Laenen, Eline G. M. Cox, Jan-Willem E. M. Sels, Luc J. M. Smits, Johannes Bickenbach, Dieter Mesotten, Iwan C. C. van der Horst, Gernot Marx, Bas C. T. van Bussel, CoDaP Investigators
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Most published prediction models for Coronavirus Disease 2019 (COVID-19) were poorly reported, at high risk of bias, and heterogeneous in model performance. To tackle methodological challenges faced in previous prediction studies, we investi
Externí odkaz:
https://doaj.org/article/0f5fd3711bd64993b62e1801dd81a4b7
Publikováno v:
Case Reports in Oncology, Vol 17, Iss 1, Pp 1140-1145 (2024)
Introduction: Treatment with topotecan is standard-of-care therapy for relapsed small-cell lung cancer (SCLC). Both oral and intravenous administrations of topotecan have been extensively researched and are found to be equally effective with less adv
Externí odkaz:
https://doaj.org/article/4c23d0a866b149489e2227808b19f841
Autor:
Laure Wynants, Natascha JH. Broers, Tamara N. Platteel, Roderick P. Venekamp, Dennis G. Barten, Mathie PG. Leers, Theo JM. Verheij, Patricia M. Stassen, Jochen WL. Cals, Eefje GPM de Bont
Publikováno v:
European Journal of General Practice, Vol 30, Iss 1 (2024)
Background There is a paucity of prognostic models for COVID-19 that are usable for in-office patient assessment in general practice (GP).Objectives To develop and validate a risk prediction model for hospital admission with readily available predict
Externí odkaz:
https://doaj.org/article/95290ebe63e64a74a171072a06ab0e31