Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

A recent study by Yale researchers demonstrated the potential of a machine learning approach to predict symptoms of post-traumatic stress disorder, or PTSD, for recent trauma survivors. Researchers ...

Predictive Oncology Inc. announced the successful development of predictive models for 21 unique compounds sourced from the University of Michigan's Natural Products Discovery Core, marking a ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

With the cost of acquiring new app installs skyrocketing, keeping users engaged who have already installed is critical for maximizing acquisition spend and customer lifetime value. Urban Airship’s ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.