Machine Learning Meets Meta-Heuristics: Bald Eagle Search Optimization and Red Deer Optimization for Feature Selection in Type II Diabetes Diagnosis.

Chellappan D, Rajaguru H

Open source

DOI
10.3390/bioengineering11080766
Published
2024 Jul 29
Container
Bioengineering (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/bioengineering11080766,
  title = {Machine Learning Meets Meta-Heuristics: Bald Eagle Search Optimization and Red Deer Optimization for Feature Selection in Type II Diabetes Diagnosis.},
  author = {Chellappan D and Rajaguru H},
  year = {2024},
  journal = {Bioengineering (Basel, Switzerland)},
  doi = {10.3390/bioengineering11080766},
  url = {https://doi.org/10.3390/bioengineering11080766}
}

RIS

TY  - JOUR
TI  - Machine Learning Meets Meta-Heuristics: Bald Eagle Search Optimization and Red Deer Optimization for Feature Selection in Type II Diabetes Diagnosis.
AU  - Chellappan D
AU  - Rajaguru H
PY  - 2024
JO  - Bioengineering (Basel, Switzerland)
DO  - 10.3390/bioengineering11080766
UR  - https://doi.org/10.3390/bioengineering11080766
ER  - 

APA

D, C., & H, R. (2024). Machine Learning Meets Meta-Heuristics: Bald Eagle Search Optimization and Red Deer Optimization for Feature Selection in Type II Diabetes Diagnosis.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering11080766

Source records