Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...

With 2026 around, I am refining my inflation-focused asset allocation model that performed well in 2025. Check out the major ...

Among them, extracting structured data from unstructured text: identifying people, places, and events buried in articles; ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Jared Ecker is a researcher and fact-checker ...

Mitchell Grant is a self-taught investor with over 5 years of experience as a financial trader. He is a financial content strategist and creative content editor. Timothy Li is a consultant, accountant ...

Data management is the process businesses use to gather, store, access and secure data from various platforms. Managing this information properly helps organizations utilize data analytics to gain ...

This guide was reviewed by a Business News Daily editor to ensure it provides comprehensive and accurate information to aid your buying decision. Modern businesses run on data. Companies regularly ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...