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...

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Detalles Bibliográficos
Autores principales: Sahoo, Satya S., Kobow, Katja, Zhang, Jianzhe, Buchhalter, Jeffrey, Dayyani, Mojtaba, Upadhyaya, Dipak P., Prantzalos, Katrina, Bhattacharjee, Meenakshi, Blumcke, Ingmar, Wiebe, Samuel, Lhatoo, Samden D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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