Zobrazeno 1 - 10
of 288
pro vyhledávání: '"Reps, Jenna"'
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
Publikováno v:
JMIR Pediatrics and Parenting, Vol 4, Iss 2, p e16280 (2021)
BackgroundCollecting longitudinal data during and shortly after pregnancy is difficult, as pregnant women often avoid studies with repeated surveys. In contrast, pregnant women interact with certain websites at multiple stages throughout pregnancy an
Externí odkaz:
https://doaj.org/article/207b4fe4bf5344a0991ee31a52c804b9
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:
Cai, Cindy X., Nishimura, Akihiko, Bowring, Mary G., Westlund, Erik, Tran, Diep, Ng, Jia H., Nagy, Paul, Cook, Michael, McLeggon, Jody-Ann, DuVall, Scott L., Matheny, Michael E., Golozar, Asieh, Ostropolets, Anna, Minty, Evan, Desai, Priya, Bu, Fan, Toy, Brian, Hribar, Michelle, Falconer, Thomas, Zhang, Linying, Lawrence-Archer, Laurence, Boland, Michael V., Goetz, Kerry, Hall, Nathan, Shoaibi, Azza, Reps, Jenna, Sena, Anthony G., Blacketer, Clair, Swerdel, Joel, Jhaveri, Kenar D., Lee, Edward, Gilbert, Zachary, Zeger, Scott L., Crews, Deidra C., Suchard, Marc A., Hripcsak, George, Ryan, Patrick B.
Publikováno v:
In Ophthalmology Retina August 2024 8(8):733-743
In this paper, we present a case study demonstrating how dynamic and uncertain criteria can be incorporated into a multicriteria analysis with the help of discrete event simulation. The simulation guided multicriteria analysis can include both moneta
Externí odkaz:
http://arxiv.org/abs/2011.09891
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
Akademický článek
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Publikováno v:
In International Journal of Medical Informatics July 2022 163
Autor:
Reps, Jenna Marie
The novel contribution of this research is the development of a supervised algorithm that extracts relevant attributes from The Health Improvement Network database to detect prescription side effects. Prescription drug side effects are a common cause
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635102
Akademický článek
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