Comparison of the Performances of Generalized Linear Model, Decision Tree, Random Forest, Naive Bayes, and Support Vector Machine Models From Machine Learning-Based Classification Algorithms in the Diagnosis of Cushing's Syndrome.
- DOI
- 10.31083/bjhm57289
- Published
- 2026 Aug 21
- Container
- British journal of hospital medicine (London, England : 2005)
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.31083/bjhm57289,
title = {Comparison of the Performances of Generalized Linear Model, Decision Tree, Random Forest, Naive Bayes, and Support Vector Machine Models From Machine Learning-Based Classification Algorithms in the Diagnosis of Cushing's Syndrome.},
author = {Çakır M and Aydemir M and Oral O and Yılmaz M},
year = {2026},
journal = {British journal of hospital medicine (London, England : 2005)},
doi = {10.31083/bjhm57289},
url = {https://doi.org/10.31083/bjhm57289}
}RIS
TY - JOUR TI - Comparison of the Performances of Generalized Linear Model, Decision Tree, Random Forest, Naive Bayes, and Support Vector Machine Models From Machine Learning-Based Classification Algorithms in the Diagnosis of Cushing's Syndrome. AU - Çakır M AU - Aydemir M AU - Oral O AU - Yılmaz M PY - 2026 JO - British journal of hospital medicine (London, England : 2005) DO - 10.31083/bjhm57289 UR - https://doi.org/10.31083/bjhm57289 ER -
APA
M, Ç., M, A., O, O., & M, Y. (2026). Comparison of the Performances of Generalized Linear Model, Decision Tree, Random Forest, Naive Bayes, and Support Vector Machine Models From Machine Learning-Based Classification Algorithms in the Diagnosis of Cushing's Syndrome.. British journal of hospital medicine (London, England : 2005). https://doi.org/10.31083/bjhm57289
Source records
- pubmed · retrieved 2026-09-26T21:36:21.583Z
- europe-pmc · retrieved 2026-09-26T21:36:21.603Z