Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Producing the highest accuracy, the 9-gene set produced became the basis of the final classifier. When applied to multiple ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Researchers have used machine learning to aggregate nearly five decades of weather data to better understand the factors that ...

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the ...