Zobrazeno 1 - 10
of 610
pro vyhledávání: '"RIJNBEEK, Peter"'
Autor:
John, Luis H., Kim, Chungsoo, Kors, Jan A., Chang, Junhyuk, Morgan-Cooper, Hannah, Desai, Priya, Pang, Chao, Rijnbeek, Peter R., Reps, Jenna M., Fridgeirsson, Egill A.
Background: Conventional prediction methods such as logistic regression and gradient boosting have been widely utilized for disease onset prediction for their reliability and interpretability. Deep learning methods promise enhanced prediction perform
Externí odkaz:
http://arxiv.org/abs/2410.10505
Autor:
Reps, Jenna M, Kim, Chungsoo, Williams, Ross D, Markus, Aniek F, Yang, Cynthia, Duarte-Salles, Talita, Falconer, Thomas, Jonnagaddala, Jitendra, Williams, Andrew, Fernández-Bertolín, Sergio, DuVall, Scott L, Kostka, Kristin, Rao, Gowtham, Shoaibi, Azza, Ostropolets, Anna, Spotnitz, Matthew E, Zhang, Lin, Casajust, Paula, Steyerberg, Ewout W, Nyberg, Fredrik, Kaas-Hansen, Benjamin Skov, Choi, Young Hwa, Morales, Daniel, Liaw, Siaw-Teng, Abrahão, Maria Tereza Fernandes, Areia, Carlos, Matheny, Michael E, Lynch, Kristine E, Aragón, María, Park, Rae Woong, Hripcsak, George, Reich, Christian G, Suchard, Marc A, You, Seng Chan, Ryan, Patrick B, Prieto-Alhambra, Daniel, Rijnbeek, Peter R
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 4, p e21547 (2021)
BackgroundSARS-CoV-2 is straining health care systems globally. The burden on hospitals during the pandemic could be reduced by implementing prediction models that can discriminate patients who require hospitalization from those who do not. The COVID
Externí odkaz:
https://doaj.org/article/66b2213a810647dabf79dcb9e72da9f0
Autor:
Rekkas, Alexandros, Rijnbeek, Peter R., Kent, David M., Steyerberg, Ewout W., van Klaveren, David
Objective: To compare different risk-based methods for optimal prediction of treatment effects. Methods: We simulated RCT data using diverse assumptions for the average treatment effect, a baseline prognostic index of risk (PI), the shape of its inte
Externí odkaz:
http://arxiv.org/abs/2205.01717
Autor:
Seinen, Tom M, Kors, Jan A, van Mulligen, Erik M, Fridgeirsson, Egill A, Verhamme, Katia MC, Rijnbeek, Peter R
Publikováno v:
In International Journal of Medical Informatics September 2024 189
Autor:
Rekkas, Alexandros, van Klaveren, David, Ryan, Patrick B., Steyerberg, Ewout W., Kent, David M., Rijnbeek, Peter R.
The Predictive Approaches to Treatment Effect Heterogeneity statement focused on baseline risk as a robust predictor of treatment effect and provided guidance on risk-based assessment of treatment effect heterogeneity in the RCT setting. The aim of t
Externí odkaz:
http://arxiv.org/abs/2010.06430
Publikováno v:
International Journal of Medical Informatics, Volume 163, July 2022, Article number 104762
Objective: Provide guidance on sample size considerations for developing predictive models by empirically establishing the adequate sample size, which balances the competing objectives of improving model performance and reducing model complexity as w
Externí odkaz:
http://arxiv.org/abs/2008.07361
Publikováno v:
Journal of Biomedical Informatics, 113 (2021), 103655
Artificial intelligence (AI) has huge potential to improve the health and well-being of people, but adoption in clinical practice is still limited. Lack of transparency is identified as one of the main barriers to implementation, as clinicians should
Externí odkaz:
http://arxiv.org/abs/2007.15911
Autor:
Voss, Erica A., Shoaibi, Azza, Yin Hui Lai, Lana, Blacketer, Clair, Alshammari, Thamir, Makadia, Rupa, Haynes, Kevin, Sena, Anthony G., Rao, Gowtham, van Sandijk, Sebastiaan, Fraboulet, Clement, Boyer, Laurent, Le Carrour, Tanguy, Horban, Scott, Morales, Daniel R., Martínez Roldán, Jordi, Ramírez-Anguita, Juan Manuel, Mayer, Miguel A., de Wilde, Marcel, John, Luis H., Duarte-Salles, Talita, Roel, Elena, Pistillo, Andrea, Kolde, Raivo, Maljković, Filip, Denaxas, Spiros, Papez, Vaclav, Kahn, Michael G., Natarajan, Karthik, Reich, Christian, Secora, Alex, Minty, Evan P., Shah, Nigam H., Posada, Jose D., Garcia Morales, Maria Teresa, Bosca, Diego, Cadenas Juanino, Honorio, Diaz Holgado, Antonio, Pedrera Jiménez, Miguel, Serrano Balazote, Pablo, García Barrio, Noelia, Şen, Selçuk, Üresin, Ali Yağız, Erdogan, Baris, Belmans, Luc, Byttebier, Geert, Malbrain, Manu L.N.G., Dedman, Daniel J., Cuccu, Zara, Vashisht, Rohit, Butte, Atul J., Patel, Ayan, Dahm, Lisa, Han, Cora, Bu, Fan, Arshad, Faaizah, Ostropolets, Anna, Nyberg, Fredrik, Hripcsak, George, Suchard, Marc A., Prieto-Alhambra, Dani, Rijnbeek, Peter R., Schuemie, Martijn J., Ryan, Patrick B.
Publikováno v:
In eClinicalMedicine April 2023 58
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