algorithmic fairness

Addressing Machine Learning Bias in Non-Communicable Disease Research

A scoping review published in BMC Public Health highlights biases in machine learning applications aimed at addressing non-communicable diseases on a population level. The study emphasizes the importance of recognizing and mitigating these biases to ensure effective interventions and equitable health outcomes.