Detecting algorithmic bias in medical AI-models

arXiv:2312.02959v3 Announce Type: replace-cross
Abstract: With the growing prevalence of machine learning and artificial intelligence-based medical decision support systems, it is equally important to ensure that these systems provide patient outcomes in a fair and equitable fashion. This paper presents an innovative framework for detecting areas of algorithmic bias in medical-AI decision support systems. Our approach efficiently identifies potential biases in medical-AI models, specifically in the context of sepsis prediction, by employing the Classification and Regression Trees (CART) algorithm. We …

abstract algorithmic bias artificial artificial intelligence arxiv bias cs.cy cs.lg decision decision support fair fashion framework intelligence machine machine learning medical medical ai paper patient stat.ap stat.ml support systems type