The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare ...

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

AI is the big umbrella; ML is how it learns; deep learning is powerful learning with neural networks; generative AI is AI that creates ...

Instead of sporadically updating antiquated models, CMS must develop a new risk-adjustment platform. This will require the technology and analytics infrastructure to evaluate, deploy, and update ...

Millions of people taking semaglutide or tirzepatide for weight loss face a sharp question: what happens when they stop? Data from multiple randomized withdrawal trials now show that most of the ...

Abstract: In reality, learning from multi-view multi-label data inevitably confronts three challenges: missing labels, incomplete views, and non-aligned views. Existing methods mainly concern the ...

In game theory, the Shapley value is a manner of fairly distributing both gains and costs to several actors working in ...

"I don't think Putin directly threatened Lukashenko's life. But hints in that direction could certainly have been made. Russia knows how to blackmail people, and Putin knows how to blackmail people — ...

Introduction Mental health conditions are prevalent during adolescence, but access to early evidence-based treatments remains ...

Abstract: This paper proposes an adaptive near-field beam training method to enhance performance in multi-user and multipath environments. The approach identifies multiple strongest beams through beam ...