Prediction Pipeline Selection for Incomplete Clinical Data via Missingness Fingerprints and Instance Augmentation.
- DOI
- 10.3390/bioengineering13050497
- Published
- 2026 Apr 24
- Container
- Bioengineering (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/bioengineering13050497,
title = {Prediction Pipeline Selection for Incomplete Clinical Data via Missingness Fingerprints and Instance Augmentation.},
author = {Li R and Shen Z and Wu C and Li J and Tian Y},
year = {2026},
journal = {Bioengineering (Basel, Switzerland)},
doi = {10.3390/bioengineering13050497},
url = {https://doi.org/10.3390/bioengineering13050497}
}RIS
TY - JOUR TI - Prediction Pipeline Selection for Incomplete Clinical Data via Missingness Fingerprints and Instance Augmentation. AU - Li R AU - Shen Z AU - Wu C AU - Li J AU - Tian Y PY - 2026 JO - Bioengineering (Basel, Switzerland) DO - 10.3390/bioengineering13050497 UR - https://doi.org/10.3390/bioengineering13050497 ER -
APA
R, L., Z, S., C, W., J, L., & Y, T. (2026). Prediction Pipeline Selection for Incomplete Clinical Data via Missingness Fingerprints and Instance Augmentation.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering13050497
Source records
- pubmed · retrieved 2026-09-25T16:56:16.250Z