Calibration: the Achilles heel of predictive analytics.
Ben Van CalsterDavid J McLernonMaarten van SmedenLaure WynantsEwout Willem Steyerbergnull nullPublished in: BMC medicine (2019)
Efforts are required to avoid poor calibration when developing prediction models, to evaluate calibration when validating models, and to update models when indicated. The ultimate aim is to optimize the utility of predictive analytics for shared decision-making and patient counseling.