A new study offers insight into the health and lifestyle indicators—including diet, physical activity and weight—that align ...

Businesses use these techniques, which include data mining, predictive modeling and machine learning, to assess risks and forecast business trends. As a result, business leaders can use predictive ...

Predictive analytics is a branch of advanced analytics that combines historical data with statistical modeling, data mining techniques, and machine learning. Financial analysts can use predictive ...

Machine learning refers to the process by which a machine or computer can imitate human behavior to learn and optimize complicated tasks such as statistical analysis and predictive modeling using ...

Babies born with low birth weight (less than 2.5 kg) are 20 times more likely to die. They are also more likely to develop neurological and cardiovascular diseases, diabetes, and growth problems later ...

As data volumes surge across every industry and machine learning tools become more accessible, predictive analytics is evolving ... and deployment of models using MLOps best practices. What tools does ...

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

X Engineered Materials demonstrates how AI offers a path toward more resilient, sustainable, and future-ready manufacturing.

Predictive AI is already commonplace in entry-level hiring, but firms are envisioning additional ways to utilize a growing ...

Cadmium (Cd), a toxic heavy metal, poses a growing threat to food safety through its accumulation in crops. Wheat, in particular, tends to absorb more cadmium than rice due to its higher internal ...