Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Karel G M, Moons"'
Autor:
Jeroen Hoogland, Toshihiko Takada, Maarten van Smeden, Maroeska M. Rovers, An I. de Sutter, Daniel Merenstein, Laurent Kaiser, Helena Liira, Paul Little, Heiner C. Bucher, Karel G. M. Moons, Johannes B. Reitsma, Roderick P. Venekamp
Publikováno v:
Diagnostic and Prognostic Research, Vol 7, Iss 1, Pp 1-11 (2023)
Abstract Background A previous individual participant data meta-analysis (IPD-MA) of antibiotics for adults with clinically diagnosed acute rhinosinusitis (ARS) showed a marginal overall effect of antibiotics, but was unable to identify patients that
Externí odkaz:
https://doaj.org/article/7132d474b7c041bbbc27ab94902e9df1
Autor:
Anum Zahra, Kim Luijken, Evertine J. Abbink, Jesse M. van den Berg, Marieke T. Blom, Petra Elders, Jan Festen, Jacobijn Gussekloo, Karlijn J. Joling, René Melis, Simon Mooijaart, Jeannette B. Peters, Harmke A. Polinder-Bos, Bas F. M. van Raaij, Annemieke Smorenberg, Hannah M. la Roi-Teeuw, Karel G. M. Moons, Maarten van Smeden, on behalf of the COOP Consortium
Publikováno v:
Diagnostic and Prognostic Research, Vol 7, Iss 1, Pp 1-11 (2023)
Abstract Background The COVID-19 pandemic has a large impact worldwide and is known to particularly affect the older population. This paper outlines the protocol for external validation of prognostic models predicting mortality risk after presentatio
Externí odkaz:
https://doaj.org/article/43b7b394cbaa43faaa13f6d678a4e92c
Autor:
Ewoud Schuit, Roderick P. Venekamp, Irene K. Veldhuijzen, Wouter van den Bijllaardt, Suzan D. Pas, Joep J. J. M. Stohr, Esther B. Lodder, Marloes Hellwich, Richard Molenkamp, Zsofia Igloi, Constantijn Wijers, Irene H. Vroom, Carla R. S. Nagel-Imming, Wanda G. H. Han, Jan A. J. W. Kluytmans, Susan van den Hof, Janneke H. H. M. van de Wijgert, Karel G. M. Moons
Publikováno v:
BMC Medicine, Vol 20, Iss 1, Pp 1-14 (2022)
Abstract Background The diagnostic accuracy of unsupervised self-testing with rapid antigen diagnostic tests (Ag-RDTs) is mostly unknown. We studied the diagnostic accuracy of a self-performed SARS-CoV-2 saliva and nasal Ag-RDT in the general populat
Externí odkaz:
https://doaj.org/article/0b82b1bdae5e45359130ac27897646d9
Autor:
Frank J Snoek, Karel G M Moons, Mirjam M Oosterwerff, Thomas van Bemmel, Catherine B Brouwer, Arianne C van Bon, Harold W de Valk, J Hans deVries, Lioe-Ting Dijkhorst-Oei, Peter R van Dijk, Klaas Hoogenberg, Sarah E Siegelaar, Titia M Vriesendorp, Erik H Serné, Geert W J Frederix, Milena Jancev, Heleen Knottnerus, Helga Blauw, Maureen Witkop, Thomas T van Sloten, Frits A W Kemperman, Lars P Klieverik, Elin Seebus
Publikováno v:
BMJ Open, Vol 13, Iss 8 (2023)
Introduction The management of type 1 diabetes (T1DM) has undergone significant advancements with the availability of novel technologies, notably continuous and flash glucose monitoring (CGM and FGM, respectively) and hybrid closed loop (HCL) therapy
Externí odkaz:
https://doaj.org/article/dd5f612a68824e97a555e2b0371f2a8f
Autor:
Paula Dhiman, Jie Ma, Constanza L. Andaur Navarro, Benjamin Speich, Garrett Bullock, Johanna A. A. Damen, Lotty Hooft, Shona Kirtley, Richard D. Riley, Ben Van Calster, Karel G. M. Moons, Gary S. Collins
Publikováno v:
Diagnostic and Prognostic Research, Vol 6, Iss 1, Pp 1-14 (2022)
Abstract Background Prognostic models are used widely in the oncology domain to guide medical decision-making. Little is known about the risk of bias of prognostic models developed using machine learning and the barriers to their clinical uptake in t
Externí odkaz:
https://doaj.org/article/7ee68c8c770a4944a9c8881337a9a407
Autor:
Paula Dhiman, Jie Ma, Constanza L. Andaur Navarro, Benjamin Speich, Garrett Bullock, Johanna A. A. Damen, Lotty Hooft, Shona Kirtley, Richard D. Riley, Ben Van Calster, Karel G. M. Moons, Gary S. Collins
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-16 (2022)
Abstract Background Describe and evaluate the methodological conduct of prognostic prediction models developed using machine learning methods in oncology. Methods We conducted a systematic review in MEDLINE and Embase between 01/01/2019 and 05/09/201
Externí odkaz:
https://doaj.org/article/a5e2429153c94a088342a9d1239c1e39
Autor:
Roderick P. Venekamp, Irene K. Veldhuijzen, Karel G. M. Moons, Wouter van den Bijllaardt, Suzan D. Pas, Esther B. Lodder, Richard Molenkamp, Zsofi Igloi, Constantijn Wijers, Claudy Oliveira dos Santos, Sylvia B. Debast, Marjan J. Bruins, Khaled Polad, Carla R. S. Nagel-Imming, Wanda G. H. Han, Janneke H. H. M. van de Wijgert, Susan van den Hof, Ewoud Schuit
Publikováno v:
BMC Medicine, Vol 20, Iss 1, Pp 1-13 (2022)
Abstract Background Rapid antigen diagnostic tests (Ag-RDTs) are the most widely used point-of-care tests for detecting SARS-CoV-2 infection. Since the accuracy may have altered by changes in SARS-CoV-2 epidemiology, indications for testing, sampling
Externí odkaz:
https://doaj.org/article/257010117fc44e529373c3340dd19790
Autor:
Anne A. H. de Hond, Artuur M. Leeuwenberg, Lotty Hooft, Ilse M. J. Kant, Steven W. J. Nijman, Hendrikus J. A. van Os, Jiska J. Aardoom, Thomas P. A. Debray, Ewoud Schuit, Maarten van Smeden, Johannes B. Reitsma, Ewout W. Steyerberg, Niels H. Chavannes, Karel G. M. Moons
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-13 (2022)
Abstract While the opportunities of ML and AI in healthcare are promising, the growth of complex data-driven prediction models requires careful quality and applicability assessment before they are applied and disseminated in daily practice. This scop
Externí odkaz:
https://doaj.org/article/6d457ef87593436480c56d463e4239db
Autor:
Artuur M. Leeuwenberg, Maarten van Smeden, Johannes A. Langendijk, Arjen van der Schaaf, Murielle E. Mauer, Karel G. M. Moons, Johannes B. Reitsma, Ewoud Schuit
Publikováno v:
Diagnostic and Prognostic Research, Vol 6, Iss 1, Pp 1-13 (2022)
Abstract Background Clinical prediction models are developed widely across medical disciplines. When predictors in such models are highly collinear, unexpected or spurious predictor-outcome associations may occur, thereby potentially reducing face-va
Externí odkaz:
https://doaj.org/article/8373a8545fff42b1babb94e9e3a2b729
Autor:
Constanza L. Andaur Navarro, Johanna A. A. Damen, Toshihiko Takada, Steven W. J. Nijman, Paula Dhiman, Jie Ma, Gary S. Collins, Ram Bajpai, Richard D. Riley, Karel G. M. Moons, Lotty Hooft
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-13 (2022)
Abstract Background While many studies have consistently found incomplete reporting of regression-based prediction model studies, evidence is lacking for machine learning-based prediction model studies. We aim to systematically review the adherence o
Externí odkaz:
https://doaj.org/article/ded1a80e1b54492db40c644dfe0bc26a