Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
University of Illinois Urbana-Champaign corn breeders know profitability is about more than yield. By tweaking kernel ...
Objective To determine whether a full-scale randomised control trial (RCT) assessing the efficacy and cost-effectiveness of a ...
Health research requires high-quality data, and population-based health research comes with specific opportunities and challenges for data collection. Electronic data capture can mitigate some of the ...
Background Fermented foods are a promising yet underexplored intervention for influencing brain function and mental health through the gut–brain axis. Objective The objective of this study was to ...
Mixed methods research in psychological science has undergone significant evolution since its origins in the 1980s, emerging as a powerful paradigm capable ...
Reflecting on the methodological approaches used when engaging historically marginalized groups in computing survey research.
Tu-Quyen Dao, a senior biochemistry student, is studying how AI can be applied to improve healthcare. I understand that you ...
Introduction Suicide is a significant public health issue worldwide. Many deaths by suicide occur in moments of crisis. Therefore, interventions which support individuals to manage moments of acute ...
The Arkansas Game and Fish Commission faces a challenging task: monitoring wildlife populations across more than 19 million acres of forestland. Traditional survey methods require substantial staff ...
Research-to-action programme SPARC has six years of experience carrying out research and collecting meaningful data in some ...
Recruiting participants for injury and violence-related studies can be challenging. Online qualitative data collection can ...
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