Ontology-based feature engineering in machine learning workflows for heterogeneous epilepsy patient records
- DOI
- 10.1038/s41598-022-23101-3
- Published
- 2022-11-12
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-022-23101-3,
title = {Ontology-based feature engineering in machine learning workflows for heterogeneous epilepsy patient records},
author = {Satya S. Sahoo and Katja Kobow and Jianzhe Zhang and Jeffrey Buchhalter and Mojtaba Dayyani and Dipak P. Upadhyaya and Katrina Prantzalos and Meenakshi Bhattacharjee and Ingmar Blumcke and Samuel Wiebe and Samden D. Lhatoo},
year = {2022},
journal = {Scientific Reports},
doi = {10.1038/s41598-022-23101-3},
url = {https://doi.org/10.1038/s41598-022-23101-3}
}RIS
TY - JOUR TI - Ontology-based feature engineering in machine learning workflows for heterogeneous epilepsy patient records AU - Satya S. Sahoo AU - Katja Kobow AU - Jianzhe Zhang AU - Jeffrey Buchhalter AU - Mojtaba Dayyani AU - Dipak P. Upadhyaya AU - Katrina Prantzalos AU - Meenakshi Bhattacharjee AU - Ingmar Blumcke AU - Samuel Wiebe AU - Samden D. Lhatoo PY - 2022 JO - Scientific Reports DO - 10.1038/s41598-022-23101-3 UR - https://doi.org/10.1038/s41598-022-23101-3 ER -
APA
Sahoo, S. S., Kobow, K., Zhang, J., Buchhalter, J., Dayyani, M., Upadhyaya, D. P., Prantzalos, K., Bhattacharjee, M., Blumcke, I., Wiebe, S., & Lhatoo, S. D. (2022). Ontology-based feature engineering in machine learning workflows for heterogeneous epilepsy patient records. Scientific Reports. https://doi.org/10.1038/s41598-022-23101-3
Source records
- crossref · retrieved 2026-11-10T13:16:10.509Z