Microeconomic Pricing Models: Understanding Pricing Through Supply and Demand

Learn how microeconomic pricing models determine market prices through supply and demand. Discover how equilibrium is ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
AHA/ASA Journals

Criteria to Assess the Predictive and Clinical Utility of Novel Models, Biomarkers, and Tools for Risk of Cardiovascular Disease: A Scientific Statement From the American Heart ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
IEEE

Beyond Large Language Models: Rediscovering the Role of Classical Statistics in Modern Data Science

Abstract: This study explores the synergy between large language models and classical statistics in contemporary data science. In the field of large language models, we find there is no ...
IEEE

Federated Discrete Prompt Tuning for Language Models Using Synthetic Examples

Abstract: Effective prompt tuning is critical for using generative AI models, such as large language models (LLMs) and small language models (SLMs), for domain-specific tasks. However, optimizing ...