SmartScanPCOS: A feature-driven approach to cutting-edge prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence

Today's article comes from the Heliyon journal. The authors are Mahesswari G. et al., from Anna University in India. On its surface, this paper is about generating ML models to diagnose PCOS. But as we dig deeper, we'll see this paper is really all about "explainable AI". It's about the tools and techniques we can use to make our ML models more transparent, and less like black-boxes.

DOI: 10.1016/j.heliyon.2024.e39205