This article discusses the use of a constrained machine learning model to accurately predict water droplet size distribution in crude oil, which is crucial…
Browsing: eXtreme Gradient Boosting
This study utilized a dataset of 731 patients with sporadic cerebral cavernous malformations (CCM) to evaluate the risk of hemorrhage and (re)hemorrhage in follow-up.…
This study examines the influence of meteorological conditions on PM10 concentrations in Brunei-Muara district and the development of predictive forecasting models based on time…
This study aimed to develop and validate a machine learning (ML) prediction model of acute kidney injury (AKI) for use in AKI surveillance and…
This article discusses a machine learning-based model that was developed to more accurately predict mortality after cardiac surgery than population-based models. The model was…