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: ...

Predictive analytics involves using data, statistical algorithms and artificial intelligence to anticipate future outcomes, trends, behaviors and events based on historical customer data. This ...

AI-driven predictive analytics is reshaping how firms evaluate deals, manage risk, and plan portfolio strategies.

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 ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

The algorithms often used by colleges to predict students’ likelihood of graduating can produce less accurate results for Black and Hispanic students compared to their peers, a new study says.

Bob Garcia, a Penn State grad and SEO specialist, brings 20+ years of digital marketing expertise, enriched by entrepreneurial insights. As an SEO and marketing expert of more than 20 years, I'm ...

1. What is predictive analytics? Predictive analytics is a method of using data to make predictions about future events or behavior. It can be used in a number of different fields, including marketing ...

Measles is one of the most contagious infectious diseases, capable of spreading rapidly in communities with low vaccination rates. The virus is transmitted through respiratory droplets and can remain ...