Introduction Prescribing high-dose antipsychotics is typically reserved for individuals with treatment-resistant severe ...

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

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

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 ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Researchers at Duke University are proposing a new framework to evaluate artificial intelligence scribing tools by using a combination of human review and technological evaluation. The tools, while ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...

THE BAT X is a sophisticated baseball projection system I have developed over the past 15+ years using advanced statistical techniques and methodology. I’ve worked with and learned from several ...

If you have been following AI these days, you have likely seen headlines reporting the breakthrough achievements of AI models achieving benchmark records. From ImageNet image recognition tasks to ...