Health Affairs

The Potential For Bias In Machine Learning And Opportunities For Health Insurers To Address It

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...
San Diego Reader

Rethinking Machine Learning: Stuart Frost Makes the Case for Causal AI in Manufacturing

Causal AI transforms key areas of manufacturing by revealing what happens and why. In predictive maintenance, it shifts focus ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
International Monetary Fund

The Impact of Gray-Listing on Capital Flows: An Analysis Using Machine Learning

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation The Financial Action Task Force’s gray list publicly identifies countries with strategic deficiencies in their AML/CFT ...
International Monetary Fund

Nowcasting GDP - A Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper describes recent work to strengthen nowcasting capacity at the IMF’s European department. It motivates and ...
Physics World

Machine learning optimizes nanoparticle design for drug delivery to the brain

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...
Scientific American

What Is Machine Learning, and How Does It Work? Here’s a Short Video Primer

Machine learning is the process by which computer programs grow from experience. This isn’t science fiction, where robots advance until they take over the world. When we talk about machine learning, ...