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 ...

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 ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

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

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

Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...

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