Výsledky vyhledávání - "Moons Karel GM"

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The harms of class imbalance corrections for machine learning based prediction models: a simulation study

Autor: Carriero, Alex, Luijken, Kim, de Hond, Anne, Moons, Karel GM, van Calster, Ben, van Smeden, Maarten

Risk prediction models are increasingly used in healthcare to aid in clinical decision making. In most clinical contexts, model calibration (i.e., assessing the reliability of risk estimates) is critical. Data available for model development are ofte

Externí odkaz: http://arxiv.org/abs/2404.19494

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Real-time imputation of missing predictor values in clinical practice

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

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Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness

Autor: Vollmer, Sebastian, Mateen, Bilal A., Bohner, Gergo, Király, Franz J, Ghani, Rayid, Jonsson, Pall, Cumbers, Sarah, Jonas, Adrian, McAllister, Katherine S. L., Myles, Puja, Granger, David, Birse, Mark, Branson, Richard, Moons, Karel GM, Collins, Gary S, Ioannidis, John P. A., Holmes, Chris, Hemingway, Harry

Machine learning (ML), artificial intelligence (AI) and other modern statistical methods are providing new opportunities to operationalize previously untapped and rapidly growing sources of data for patient benefit. Whilst there is a lot of promising

Externí odkaz: http://arxiv.org/abs/1812.10404

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Landscape of Methodological Quality Assessment Tools for Diagnosis and Prognosis Research

Autor: Damen, Johanna, Reitsma, Johannes B, Van Smeden, Maarten, Kellerhuis, Bas, Schuit, Ewoud, Moons, Karel GM, Hooft, Lotty, Kaul, Tabea, Bada Yang

Background: Multiple tools for assessing the methodological quality of diagnosis and prognosis research exist, with similar scope and overlap in quality items. Which tool should be used for a particular diagnostic or prognostic study type or design i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1ab5654895223761e31b0a52671e93da

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The comparative and added prognostic value of biomarkers to the Revised Cardiac Risk Index for preoperative prediction of major adverse cardiac events and all-cause mortality in patients who undergo noncardiac surgery

Autor: Vernooij, Lisette M, Klei, Wilton A, Moons, Karel GM, Takada, Toshihiko, Waes, Judith, Damen, Johanna AAG

Publikováno v: Cochrane Database Syst Rev

BACKGROUND: The Revised Cardiac Risk Index (RCRI) is a widely acknowledged prognostic model to estimate preoperatively the probability of developing in‐hospital major adverse cardiac events (MACE) in patients undergoing noncardiac surgery. However,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0520f8fd7ea865264ef49c19bd7a76db
https://doi.org/10.1002/14651858.cd013139.pub2

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