Kavli Affiliate: Michael Brenner | First 5 Authors: Subhashini Venugopalan, Arunachalam Narayanaswamy, Samuel Yang, Anton Geraschenko, Scott Lipnick | Summary: Confounding variables are a well known source of nuisance in biomedical studies. They present an even greater challenge when we combine them with black-box machine learning techniques that operate on raw data. This work presents […]
Continue.. It’s easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets