A retrospective study of 186 traumatic brain injury patients found that a model using four admission variables predicted ...
Researchers combined a low-cost IoT monitoring prototype with a Bayesian-optimized XGBoost model that achieved the highest ...
When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...
Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma Predicting severe adverse events (SAEs) in oncology is ...
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...
Sex-specific machine learning models predict 10-year dementia risk using cardiovascular and lifestyle factors, according to ...
A new model accurately reproduces aspects of polar vortex behavior, extracting indicators of imminent vortex collapse and ...
Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...
The rapid increase in the availability of genomic data has transformed plant breeding by enabling the prediction of complex ...
HSBC says it’s designed a machine-learning model to predict the direction of the most important financial instrument in global markets.