In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation ...
We present a common framework for Bayesian emulation methodologies for multivariate output simulators, or computer models, that employ either parametric linear models or non-parametric Gaussian ...
Impact of Health Perception and Knowledge on Genetic Testing Decisions Using the Health Belief Model
Early detection of cancer risk is essential as it is associated with a higher chance of survival, more successful treatment, and improved quality of life. Genetic testing helps at-risk patients ...
A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...
A large primary care analysis shows prostate cancer screening remains underused and inequitable, with notable gaps for African American and low-income high-risk patients despite multiple risk factors.
Adding lactate trajectory classification into the SOFA score improved its accuracy in predicting mortality in sepsis-associated acute lung injury.
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