Interpretable and Calibrated Classification of Clinical Data Using Supervised Feature Binarization
- DOI
- 10.3390/bioengineering13101152
- Published
- 2026-10-02
- Container
- Bioengineering
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/bioengineering13101152,
title = {Interpretable and Calibrated Classification of Clinical Data Using Supervised Feature Binarization},
author = {Antony Garcia and Adrián Noriega de la Colina and Gabrielle Britton and Xinming Huang},
year = {2026},
journal = {Bioengineering},
doi = {10.3390/bioengineering13101152},
url = {https://doi.org/10.3390/bioengineering13101152}
}RIS
TY - JOUR TI - Interpretable and Calibrated Classification of Clinical Data Using Supervised Feature Binarization AU - Antony Garcia AU - Adrián Noriega de la Colina AU - Gabrielle Britton AU - Xinming Huang PY - 2026 JO - Bioengineering DO - 10.3390/bioengineering13101152 UR - https://doi.org/10.3390/bioengineering13101152 ER -
APA
Garcia, A., Colina, A. N. D. L., Britton, G., & Huang, X. (2026). Interpretable and Calibrated Classification of Clinical Data Using Supervised Feature Binarization. Bioengineering. https://doi.org/10.3390/bioengineering13101152
Source records
- crossref · retrieved 2026-11-09T10:46:36.122Z