Science Daily

New research infuses equity principles into the algorithm development process

Researchers have found a new approach to incorporating the larger web of relevant data for predictive modeling for individual and community health outcomes. In the U.S., the place where one was born, ...
Nature

Multi-strategy enterprise development optimizer for numerical optimization and constrained problems

Enterprise Development Optimizer (EDO) is a meta-heuristic algorithm inspired by the enterprise development process with strong global search capability. However, the analysis of the EDO algorithm ...
Nature

DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence

As an increasing number of clinical decision-support systems driven by artificial intelligence progress from development to implementation, better guidance on the reporting of human factors and ...
Forbes

Combatting AI Bias Through The Development Of Equitable Algorithms

Artificial intelligence (AI) is transforming every aspect of our lives. Humans can now reduce complex and mundane tasks while focusing on core working requirements, significantly increasing workforce ...
ascopubs.org

Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...