Open access
Jul 2026
Reducing overconfident errors in clinical prediction models.
The results of this paper suggest that taming a model's tendency to predict overconfidently using historical error patterns may be a critical step towards safer and more reliable ML systems for digital public health.
Henry Bayly, Y. Tripodis, Steven Lenio et al.
· BMC Medical Informatics and... · 0 citations