Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Gold is up 55% YTD, outperforming stocks and thriving in macro uncertainty with strength across AI-driven market paths. See ...

Non-invasive and targeted transcranial focused ultrasound (FUS) treatments combined with systemically administered ...

Data Warehousing is the storage of big data. Data mining is the analysis of the collected data in order to find trends in the collected data.

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...

ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...

Abstract: With the growing importance of social media for brand engagement, there remains a limited understanding of how specific metrics-such as Reach, Followers, and New Followers-impact Instagram ...

There was an error while loading. Please reload this page. Welcome to the "Coffee Causality" repository, a data-driven analysis project focusing on coffee shop sales ...

Objectives: Medical student education is critical in equipping future doctors to impact patient healthcare and the national public health system significantly. This study aimed to identify factors ...