PofoliaShared via Pofolia

BMC Medicine· 2019Q1

Calibration: the Achilles heel of predictive analytics

On behalf of Topic Group ‘Evaluating diagnostic tests and prediction models’ of the STRATOS initiative, Ben Van Calster, David J. McLernon, Maarten van Smeden et al.

Short summary

Poorly calibrated risk prediction models, common in clinical decision-making, can be misleading and harmful, necessitating immediate attention to calibration during development and validation.

AI-generated from the title and abstract; the full text is not read.

TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app

The rest is in the Pofolia app

Takeaways, key points and questions to the paper; new summaries every day for your field. Free.

Sign in on the web to open

Field: Health Informatics

Health InformaticsMedicine