A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare.

Kosolwattana T, Liu C, Hu R, Han S, Chen H, Lin Y

Open source

DOI
10.1186/s13040-023-00330-4
Published
2023 Apr 25
Container
BioData mining
Publisher
Not recorded
Open access
yes

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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

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