Machine learning algorithms to accelerate etiological diagnosis of congenital disorders of adrenal steroidogenesis

Busra Gurpinar Tosun, Atam Noyan Ercetin, Serap Turan, Abdullah Bereket, Kazim Yalcin Arga, Tulay Guran

Open source

DOI
10.1210/clinem/dgag237
Published
2026-06-26
Container
The Journal of Clinical Endocrinology & Metabolism
Publisher
The Endocrine Society
Open access
unknown

Credibility signals

uncertain Score 64/100 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:10.1210/clinem/dgag237,
  title = {Machine learning algorithms to accelerate etiological diagnosis of congenital disorders of adrenal steroidogenesis},
  author = {Busra Gurpinar Tosun and Atam Noyan Ercetin and Serap Turan and Abdullah Bereket and Kazim Yalcin Arga and Tulay Guran},
  year = {2026},
  journal = {The Journal of Clinical Endocrinology \& Metabolism},
  doi = {10.1210/clinem/dgag237},
  url = {https://doi.org/10.1210/clinem/dgag237}
}

RIS

TY  - JOUR
TI  - Machine learning algorithms to accelerate etiological diagnosis of congenital disorders of adrenal steroidogenesis
AU  - Busra Gurpinar Tosun
AU  - Atam Noyan Ercetin
AU  - Serap Turan
AU  - Abdullah Bereket
AU  - Kazim Yalcin Arga
AU  - Tulay Guran
PY  - 2026
JO  - The Journal of Clinical Endocrinology & Metabolism
DO  - 10.1210/clinem/dgag237
UR  - https://doi.org/10.1210/clinem/dgag237
ER  - 

APA

Tosun, B. G., Ercetin, A. N., Turan, S., Bereket, A., Arga, K. Y., & Guran, T. (2026). Machine learning algorithms to accelerate etiological diagnosis of congenital disorders of adrenal steroidogenesis. The Journal of Clinical Endocrinology & Metabolism. https://doi.org/10.1210/clinem/dgag237

Source records