arXiv cs.LGPaper
Why ML-based cough models do not generalize: a systematic cross-dataset evaluation for tuberculosis screening
This is a useful cautionary result for anyone building health diagnostics on acoustic or sensor data: within-dataset AUC of 0.75 collapses to below 0.6 across sites, and a boring clinical-variable baseline beats the fancy models on generalization. If you're pitching cough-based or similar biomarker screening tools, budget for multi-site, multi-device validation before you claim clinical utility.