The sports betting industry is constantly facing new challenges, so STATSCORE takes a deep dive into one of the most ...
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 ...
Abstract: The ubiquitous data collection has raised potential risks of leaking physical and private attribute information associated with individuals in a collected dataset. A data collector who wants ...
This project collects data from Reddit users across multiple fields to study how human writing evolves over time, contrasting with the static nature of LLM outputs. The framework focuses on ...
A production-ready Python data ingestion pipeline for insurance claims fraud detection. This pipeline provides comprehensive data loading, validation, and preprocessing capabilities for healthcare ...
The model incorporated dynamic variables, including vital signs, laboratory results, and medication data, updated hourly, to perform static and continuous mortality risk assessments. External ...
More than 40% of all artificial intelligence tools cleared or approved by the Food and Drug Administration lack clinical evidence, according to an article recently published in Nature Medicine.
This site displays a prototype of a “Web 2.0” version of the daily Federal Register. It is not an official legal edition of the Federal Register, and does not replace the official print version or the ...
Abstract: Mobile Crowd Sensing is a prevalent and efficient paradigm for multi-source data collection, where Multi-source Data Fusion (MDF) plays a crucial role in constructing quality data collection ...
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