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Reporting of demographic data and representativeness in machine learning models using electronic health records
61
Zitationen
7
Autoren
2020
Jahr
Abstract
The demographic characteristics of study populations are poorly reported in the ML literature based on EHR data. Demographic representativeness in training data and model transparency is necessary to ensure that ML models are deployed in an equitable and reproducible manner. Wider adoption of reporting guidelines is warranted to improve representativeness and reproducibility.
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