The Hatch Rate Prediction Model is a critical component of our Indigenous Smart Incubator, which uses machine learning ...

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

To predict the formability of these kinds of glasses, Yale researchers have developed a machine learning model based on 201 alloy features constructed from the combination of 31 elemental features, ...

Using machine learning, MIT chemical engineers have created a computational model that can predict how well any given ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.

Results Machine learning models trained on tabular data exhibit a 76% accuracy for the random forest model at predicting relapse evaluated with a 10-fold cross-validation (the model was trained 10 ...

This study demonstrates that it is possible to generate a highly accurate model to predict inpatient and emergency department utilization using data on socioeconomic determinants of care.

The model showed promise in predicting PPD: nearly 30 percent of those predicted to be high risk developed PPD within the six months after delivery.