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: ...

Researchers at IIT Bombay have developed predictive models capable of calculating sintering-induced shrinkage in 3D printed ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

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 ...

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. Predictive analytics is a method of data analysis used within ...

Before 2017, Zuckerberg San Francisco General Hospital – an urban, academic safety-net hospital within the San Francisco Health Network – struggled with some of the highest 30-day readmission rates in ...

Patient-reported outcome measures and clinical scales were ineffective in predicting responses to full-agonist opioids for chronic pain.

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

SAVANNAH, Ga. (WSAV) — The world of crime and DNA has evolved significantly over the past decade, including the use of phenotyping to help solve cases. In the Lowcountry, a 40-year-old cold case was ...