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 ...

Enterprises will find success with a complete agentic AI environment where agents plan, retrieve, remember, and act reliably ...

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

Abstract: Quantitative Structure-Property Relationship (QSPR) modeling is one of the novel ways of predicting the physicochemical properties of a drug through its molecular descriptor (topological ...

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 ...

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

A machine learning model improves prediction of type 1 diabetes risk compared with a conventional genetic risk model, particularly in people without high-risk human leukocyte antigen haplotypes.

By Eduardo Baptista BEIJING, July 31 (Reuters) - A technique that allows developers to shrink powerful artificial ...

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

The use of artificial intelligence (AI) and algorithms is increasingly under scrutiny. After all, they can already do a great ...