[Machine learning methods in differential diagnosis of ACTH-dependent hypercortisolism].

Golounina OO, Belaya ZE, Voronov KA, Solodovnikov AG, Rozhinskaya LY, Melnichenko GA, Mokrysheva NG, Dedov II

Open source

DOI
10.14341/probl13342
Published
2024 Feb 27
Container
Problemy endokrinologii
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:10.14341/probl13342,
  title = {[Machine learning methods in differential diagnosis of ACTH-dependent hypercortisolism].},
  author = {Golounina OO and Belaya ZE and Voronov KA and Solodovnikov AG and Rozhinskaya LY and Melnichenko GA and Mokrysheva NG and Dedov II},
  year = {2024},
  journal = {Problemy endokrinologii},
  doi = {10.14341/probl13342},
  url = {https://doi.org/10.14341/probl13342}
}

RIS

TY  - JOUR
TI  - [Machine learning methods in differential diagnosis of ACTH-dependent hypercortisolism].
AU  - Golounina OO
AU  - Belaya ZE
AU  - Voronov KA
AU  - Solodovnikov AG
AU  - Rozhinskaya LY
AU  - Melnichenko GA
AU  - Mokrysheva NG
AU  - Dedov II
PY  - 2024
JO  - Problemy endokrinologii
DO  - 10.14341/probl13342
UR  - https://doi.org/10.14341/probl13342
ER  - 

APA

OO, G., ZE, B., KA, V., AG, S., LY, R., GA, M., NG, M., & II, D. (2024). [Machine learning methods in differential diagnosis of ACTH-dependent hypercortisolism].. Problemy endokrinologii. https://doi.org/10.14341/probl13342

Source records