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

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 ...

Out-of-hospital cardiac arrest, or OHCA, is a leading cause of mortality worldwide and 90% of cases are fatal. Patients lose cardiac function and circulation, and every minute they remain untreated ...

Abstract: The prediction of stock prices remains a perpetual challenge and opportunity in the domain of finance and investment. In this study, we delve into the realm of machine learning, employing ...

Explore the KDnuggets Weekly Roundup covering autonomous agent deployment and 7 essential machine learning algorithms that ...

Spread the loveThe tech industry, as we know it, is undergoing a seismic shift. It’s not just evolving; it’s being ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Researchers developed a two-stage machine learning framework that detected diabetes and classified records as prediabetes, ...

AI can write essays and code, but spreadsheets remain a weak spot. Researchers are building a new kind of model designed to ...

The CVD prediction model was created using three different predictor sets (Framingham set, diet set, and food preference profile set) across four machine learning models (logistic regression, linear ...

Two-part hurdle models for semicontinuous data (which use logistic regression to assess the odds of a 0 result and linear regression for continuous data) were used to evaluate whether select ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...