BIOENGINEER

Predicting the incidence of type 2 diabetes using FINDRISC and machine learning approaches: evidence from a population-based cohort

In a population-based cohort of 8,859 adults followed for six years, component-level machine learning models showed higher ...
BIOENGINEER

Machine-learning model shows moderate accuracy for predicting specialist nurse transfer intentions

A model-development study using 471 specialist nurse samples achieved an AUC of 0.766 for distinguishing stated transfer ...
Eos

Using Machine Learning Techniques for Polar Vortex Predictions

A new model accurately reproduces aspects of polar vortex behavior, extracting indicators of imminent vortex collapse and accompanying frigid weather in North America and Europe.
Medical Xpress

Machine learning can predict preeclampsia by week 34 of pregnancy

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 ...

Machine learning isn't just about making predictions: 5 steps learned from housing price prediction [Practical Summary]

"Which products will sell, and how many, next month?""How many hours will this task take?""Can we identify conditions prone ...
Phys.org

Using AI to predict earthquakes: Machine learning detects subtle changes before lab-scale fault failures

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 ...

What this machine-learning model with 65% accuracy says is coming next for the 10-year Treasury

HSBC says it’s designed a machine-learning model to predict the direction of the most important financial instrument in global markets.
Healio

Machine learning deems low-risk extubation failure as high in 18.7% of ventilated patients

Among ventilated adults who underwent extubation, 18.7% were high risk for extubation failure per machine learning even though they met traditional low-risk criteria, according to data presented at ...