Risk scores in anaesthesia: the future is hard to predict
External validation helps to assess whether a given risk prediction model will perform well in a target population. Validation is an important step in maintaining the utility of risk prediction models, as their ability to provide reliable risk estimates will deteriorate over time (calibration drift)...
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Veröffentlicht in: | BJA open 2022-09, Vol.3, p.100027-100027, Article 100027 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | External validation helps to assess whether a given risk prediction model will perform well in a target population. Validation is an important step in maintaining the utility of risk prediction models, as their ability to provide reliable risk estimates will deteriorate over time (calibration drift). |
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ISSN: | 2772-6096 2772-6096 |
DOI: | 10.1016/j.bjao.2022.100027 |