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of 70
pro vyhledávání: '"Groenhof, T. Katrien J."'
Autor:
Nijman, Steven WJ, Hoogland, Jeroen, Groenhof, T Katrien J, Brandjes, Menno, Jacobs, John JL, Bots, Michiel L, Asselbergs, Folkert W, Moons, Karel GM, Debray, Thomas PA
Use of prediction models is widely recommended by clinical guidelines, but usually requires complete information on all predictors that is not always available in daily practice. We describe two methods for real-time handling of missing predictor val
Externí odkaz:
http://arxiv.org/abs/2012.01099
Autor:
Bagheri, Ayoub, Groenhof, T. Katrien J., Veldhuis, Wouter B., de Jong, Pim A., Asselbergs, Folkert W., Oberski, Daniel L.
Electronic health records (EHRs) contain structured and unstructured data of significant clinical and research value. Various machine learning approaches have been developed to employ information in EHRs for risk prediction. The majority of these att
Externí odkaz:
http://arxiv.org/abs/2008.11979
Autor:
Nijman, Steven Willem Joost, Groenhof, T. Katrien J., Hoogland, Jeroen, Bots, Michiel L., Brandjes, Menno, Jacobs, John J.L., Asselbergs, Folkert W., Moons, Karel G.M., Debray, Thomas P.A.
Publikováno v:
In Journal of Clinical Epidemiology June 2021 134:22-34
Autor:
van Dijk, Wouter B., Fiolet, Aernoud T.L., Schuit, Ewoud, Sammani, Arjan, Groenhof, T. Katrien J., van der Graaf, Rieke, de Vries, Martine C., Alings, Marco, Schaap, Jeroen, Asselbergs, Folkert W., Grobbee, Diederick E., Groenwold, Rolf H.H., Mosterd, Arend
Publikováno v:
In Journal of Clinical Epidemiology April 2021 132:97-105
Autor:
Zondag, Anna G. M.1 (AUTHOR) a.g.m.zondag@umcutrecht.nl, Groenhof, T. Katrien J.2,3 (AUTHOR), van der Graaf, Rieke3 (AUTHOR), van Solinge, Wouter W.1 (AUTHOR), Bots, Michiel L.3 (AUTHOR), Haitjema, Saskia1 (AUTHOR), de Jong, Pim A. (AUTHOR), Verhaar, Marianne C. (AUTHOR), Visseren, Frank L. J. (AUTHOR), Asselbergs, Folkert W. (AUTHOR), van der Kaaij, Niels P. (AUTHOR), Hoefer, Imo E. (AUTHOR), de Borst, Gert J. (AUTHOR), Ruigrok, Ynte M. (AUTHOR), Hollander, Monika (AUTHOR), Lely, A. Titia (AUTHOR), Emmelot-Vonk, Mariëlle H. (AUTHOR)
Publikováno v:
BMC Medical Research Methodology. 4/22/2023, Vol. 23 Issue 1, p1-11. 11p.
Autor:
van Solinge, Wouter, Hoefer, Imo, Haitjema, Saskia, de Groot, Mark, Blasse, Enja, Asselbergs, Folkert W., Nathoe, Hendrik M., de Borst, Gert-Jan, Bots, Michiel L., Geerlings, Mirjam I., Emmelot, Marielle H., de Jong, Pim A., Leiner, Tim, Lely, A. Titia, van der Kaaij, Niels P., Kappelle, L. Jaap, Ruigrok, Ynte M., Verhaar, Marianne C., Visseren, Frank L.J., Westerink, Jan, Groenhof, T. Katrien J., Koers, Laurien R., Grobbee, Diederick E.
Publikováno v:
In Journal of Clinical Epidemiology February 2020 118:100-106
Autor:
Groenhof, T Katrien J, Kofink, Daniel, Bots, Michiel L, Nathoe, Hendrik M, Hoefer, Imo E, Van Solinge, Wouter W, Lely, A Titia, Asselbergs, Folkert W, Haitjema, Saskia
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 4, p e16400 (2020)
BackgroundDirect feedback on quality of care is one of the key features of a learning health care system (LHS), enabling health care professionals to improve upon the routine clinical care of their patients during practice. ObjectiveThis study aimed
Externí odkaz:
https://doaj.org/article/73853310e5a04d308a785b49c9652908
Autor:
Zondag, Anna G. M., Groenhof, T. Katrien J., van der Graaf, Rieke, van Solinge, Wouter W., Bots, Michiel L., Haitjema, Saskia
Additional file 1: Supplement 1. STROBE checklist for reporting. Supplement 2. UCC-CVRM questionnaire. Supplement 3. Missingness. Supplement 4. Patient inclusion flow-chart. Supplement 5. Sensitivity analysis to explore age distributions. Supplement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74196dd255ef6dffbcd267a27b2dad92
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Autor:
Zoet, Gerbrand A., Paauw, Nina D., Veerbeek, Jan H.W., Groenhof, T. Katrien J., Spiering, Wilko, Verhaar, Marianne C., Franx, A., Titia Lely, A.
Publikováno v:
Pregnancy Hypertension, 27, 173-175. Elsevier
Current guidelines lack sufficient evidence to recommend a specific blood pressure lowering strategy to prevent cardiovascular disease after preeclampsia. We conducted a double-blind cross-over trial to identify the most potent antihypertensive strat