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Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset
84
Zitationen
4
Autoren
2020
Jahr
Abstract
Data source variability is a potential contributor to bias in distributed research networks. We call for systematic assessment and reporting of data source variability and data quality in COVID-19 data sharing, as key information for reliable and generalizable machine learning.
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