A newly proposed checklist outlines six objectives to strive for in the development of machine-learning algorithms that help clinicians make health care decisions and recommendations for patients.

A newly proposed checklist outlines six objectives to strive for in the development of machine-learning algorithms that help clinicians make health care decisions and recommendations for patients.

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...

The world of computing is full of buzzwords: AI, supercomputers, machine learning, the cloud, quantum computing and more. One word in particular is used throughout computing – algorithm. In the most ...

Categorizing patients with cancer by their disease stage can be an important tool when conducting administrative claims-based studies. As claims databases frequently do not capture this information, ...

The scale of public anger over the automated downgrading of thousands of students’ A-level results highlights how much social and political power algorithmic decision-making now has. As well as ...

The Foundations of Data Structures and Algorithms specialization includes two optional preparation courses and a three-course pathway to earn admission to the Online MS in Computer Science. You must ...