Calibration: the Achilles heel of predictive analytics
Calibration: the Achilles heel of predictive analytics
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Contents
The assessment of calibration performance of risk prediction models based on regression or more flexible machine learning algorithms receives little attention.
Herein, we argue that this needs to change immediately because poorly calibrated algorithms can be misleading and potentially harmful for clinical decision-making. We summarize how to avo...
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Full title
Calibration: the Achilles heel of predictive analytics
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TN_cdi_doaj_primary_oai_doaj_org_article_f90c9ca4d5f241beb6b581925ee652cf
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f90c9ca4d5f241beb6b581925ee652cf
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ISSN
1741-7015
E-ISSN
1741-7015
DOI
10.1186/s12916-019-1466-7
