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Reporting of demographic data and representativeness in machine learning models using electronic health records
OBJECTIVE: The development of machine learning (ML) algorithms to address a variety of issues faced in clinical practice has increased rapidly. However, questions have arisen regarding biases in their development that can affect their applicability in specific populations. We sought to evaluate whet...
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| Publicado no: | J Am Med Inform Assoc |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7727384/ https://ncbi.nlm.nih.gov/pubmed/32935131 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa164 |
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