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Ontology-based feature engineering in machine learning workflows for heterogeneous epilepsy patient records
Biomedical ontologies are widely used to harmonize heterogeneous data and integrate large volumes of clinical data from multiple sources. This study analyzed the utility of ontologies beyond their traditional roles, that is, in addressing a challenging and currently underserved field of feature engi...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653502/ https://www.ncbi.nlm.nih.gov/pubmed/36371527 http://dx.doi.org/10.1038/s41598-022-23101-3 |