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Icahn School of Medicine researchers
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Incidente 5352 Reportes
COVID-19 Detection and Prognostication Models Allegedly Flagged for Methodological Flaws and Underlying Biases
2020-01-01
Peer-review of papers about COVID-19 detection and prognostication algorithms from 2020, including deployed models, revealed none to be ready for clinical use, due to methodological flaws and underlying biases such as lacking external validation or not specifying data sources and model training details.
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