Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

Introduction Maternal and child mortality has markedly decreased worldwide over the past few decades. Despite this success, the decline remains unequal across countries and is overall insufficient to ...

As Louisiana prepares to implement a statewide computer science graduation requirement, students at the Louisiana School for ...

At the University of St. Thomas, Chief Data and Analytics Officer Jena Zangs wants students to feel seen by their institution ...

Most university employees are using AI, but many aren’t sure how their institution wants them to employ the tools or how they ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Lynette Duncan didn’t expect to spend 20 hours over the past two weeks digging through a mothballed computer system, trying to retrieve admissions data from 2019. Duncan is the director of ...

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

Data analytics in the social sciences (DASS) combines coursework and learning opportunities from our social sciences departments at UB: sociology, linguistics, psychology, geography, anthropology, ...

The Gatton College of Business and Economics is taking a proactive, people-first approach to artificial intelligence, ...