Zobrazeno 1 - 10
of 879
pro vyhledávání: '"Goldstein, Benjamin P."'
Autor:
Brucker, Amanda, Hurst, Jillian H, O'Brien, Emily C, Anderson, Deverick, Yarrington, Michael E, Krishnan, Jay, Goldstein, Benjamin A
Real world data is an increasingly utilized resource for post-market monitoring of vaccines and provides insight into real world effectiveness. However, outside of the setting of a clinical trial, heterogeneous mechanisms may drive observed breakthro
Externí odkaz:
http://arxiv.org/abs/2401.17164
A prediction model is most useful if it generalizes beyond the development data with external validations, but to what extent should it generalize remains unclear. In practice, prediction models are externally validated using data from very different
Externí odkaz:
http://arxiv.org/abs/2304.03779
Autor:
Chang, Feier, Krishnan, Jay, Hurst, Jillian H, Yarrington, Michael E, Anderson, Deverick J, O'Brien, Emily C, Goldstein, Benjamin A
To identify patients who are hospitalized because of COVID-19 as opposed to those who were admitted for other indications, we compared the performance of different computable phenotype definitions for COVID-19 hospitalizations that use different type
Externí odkaz:
http://arxiv.org/abs/2302.01536
Autor:
Desaulniers Brousseau, Vincent, Goldstein, Benjamin P., Leroux, David, Giguère, Thomas, MacPherson, Sarah, Lefsrud, Mark
Publikováno v:
In Journal of Cleaner Production 25 September 2024 472
Autor:
Desaulniers Brousseau, Vincent, Goldstein, Benjamin P., Lachapelle, Mathieu, Tazi, Ilies, Lefsrud, Mark
Publikováno v:
In Resources, Conservation & Recycling September 2024 208
Autor:
Ning, Yilin, Ong, Marcus Eng Hock, Chakraborty, Bibhas, Goldstein, Benjamin Alan, Ting, Daniel Shu Wei, Vaughan, Roger, Liu, Nan
Interpretable machine learning has been focusing on explaining final models that optimize performance. The current state-of-the-art is the Shapley additive explanations (SHAP) that locally explains variable impact on individual predictions, and it is
Externí odkaz:
http://arxiv.org/abs/2110.02484
The modern open internet contains billions of public images of human faces across the web, especially on social media websites used by half the world's population. In this context, Face Recognition (FR) systems have the potential to match faces to sp
Externí odkaz:
http://arxiv.org/abs/2107.09126
Autor:
Yuan, Han, Xie, Feng, Ong, Marcus Eng Hock, Ning, Yilin, Chee, Marcel Lucas, Saffari, Seyed Ehsan, Abdullah, Hairil Rizal, Goldstein, Benjamin Alan, Chakraborty, Bibhas, Liu, Nan
Background: Medical decision-making impacts both individual and public health. Clinical scores are commonly used among a wide variety of decision-making models for determining the degree of disease deterioration at the bedside. AutoScore was proposed
Externí odkaz:
http://arxiv.org/abs/2107.06039
Autor:
Xie, Feng, Ning, Yilin, Yuan, Han, Goldstein, Benjamin Alan, Ong, Marcus Eng Hock, Liu, Nan, Chakraborty, Bibhas
Scoring systems are highly interpretable and widely used to evaluate time-to-event outcomes in healthcare research. However, existing time-to-event scores are predominantly created ad-hoc using a few manually selected variables based on clinician's k
Externí odkaz:
http://arxiv.org/abs/2106.06957
Publikováno v:
Supply Chain Management: An International Journal, 2023, Vol. 28, Issue 5, pp. 923-938.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SCM-02-2022-0068