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

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 ...

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 ...

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 ...

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 ...

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 ...

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

The study is the first to construct machine learning models with genetic ... Researchers used the models to rank predictive risk factors for two populations from the UK Biobank: White individuals ...

Interestingly, the study also identified a counterintuitive negative association between heavy alcohol consumption and depression, as well as between higher BMI and depression risk, challenging ...