Fierce Healthcare

Not enough hospitals are testing their predictive AI models for accuracy, bias, study finds

Many U.S. hospitals using predictive models are not evaluating their tools internally for accuracy, and fewer still are evaluating them for potential biases, according to a study published in the most ...
Forbes

How Predictive Screening Models Can Reduce Risk While Supporting Growth

Business leaders today are navigating an era of complex uncertainty, where risk moves faster than traditional oversight can keep up. From global supply chain volatility to internal compliance ...
The American Journal of Managed Care

Predictive Models for Low Birth Weight: A Comparative Analysis of Algorithmic Fairness–Improving Approaches

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...
Yale Environment 360

A step toward clinically useful brain-behavior machine learning models

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...
Inside Higher Ed

Report: Predictive Models May Have Bias Against Black and Hispanic Learners

You have /3 articles left. Sign up for a free account or log in. Predictive models are used across the student life cycle in higher education, to gauge yield in ...