A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare.
- DOI
- 10.1186/s13040-023-00330-4
- Published
- 2023 Apr 25
- Container
- BioData mining
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s13040-023-00330-4,
title = {A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare.},
author = {Kosolwattana T and Liu C and Hu R and Han S and Chen H and Lin Y},
year = {2023},
journal = {BioData mining},
doi = {10.1186/s13040-023-00330-4},
url = {https://doi.org/10.1186/s13040-023-00330-4}
}RIS
TY - JOUR TI - A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare. AU - Kosolwattana T AU - Liu C AU - Hu R AU - Han S AU - Chen H AU - Lin Y PY - 2023 JO - BioData mining DO - 10.1186/s13040-023-00330-4 UR - https://doi.org/10.1186/s13040-023-00330-4 ER -
APA
T, K., C, L., R, H., S, H., H, C., & Y, L. (2023). A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare.. BioData mining. https://doi.org/10.1186/s13040-023-00330-4
Source records
- pubmed · retrieved 2026-09-26T08:37:59.013Z