Length-biased data analysis and survival modeling have become pivotal in accurately interpreting time-to-event data, particularly in epidemiology and clinical research. Traditional survival analyses ...

In this special guest feature, Sinan Ozdemir, Director of Data Science at Directly, points out how algorithmic bias has been one of the most talked-about issues in AI for years, yet it remains one of ...

Artificial intelligence (AI) tools used in medicine, like AI used in other fields, work by detecting patterns in large volumes of data. AI tools are able to detect these patterns because they can ...

Your Artstor image groups were copied to Workspace. The Artstor website will be retired on Aug 1st. Diversity and Distributions Vol. 30, No. 6, June 2024 Causes and effects of sampling bias on m ...

Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial ...

Machine learning methods have emerged as promising tools to predict antimicrobial resistance (AMR) and uncover resistance determinants from genomic data. This study shows that sampling biases driven ...

Recently, an Association Workforce Monitor online survey conducted by the Harris Poll asked over 2,000 U.S. adults their thoughts on AI recruiting tools. About one-third of respondents in this recent ...

AI should be a dream for any chief data officer, but before you can embrace the full creative effectiveness and efficiencies of AI, there’s a problem afflicting its ability to produce strong ideas ...