The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
IEEE

Machine Learning–Based Hypertension Risk Stratification Using Logistic Regression and XGBoost

Abstract: Hypertension is a critical global health concern, necessitating accurate prediction models and effective prescription decisions to mitigate its risks. This study proposes a hybrid machine ...
IEEE

Cellular Regression Machine: A Collaborative Modeling Approach for Batch BRDF Reconstruction and Infrared Emissivity Prediction of Non-Lambertian Surfaces

Abstract: Infrared emissivity constitutes a crucial parameter for noncontact temperature measurement via infrared detectors. This article investigates noncontact measurement approaches for the ...