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Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data
OBJECTIVE: In applying machine learning (ML) to electronic health record (EHR) data, many decisions must be made before any ML is applied; such preprocessing requires substantial effort and can be labor-intensive. As the role of ML in health care grows, there is an increasing need for systematic and...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727385/ https://www.ncbi.nlm.nih.gov/pubmed/33040151 http://dx.doi.org/10.1093/jamia/ocaa139 |