Risk-stratification machine learning model using demographic factors, gynaecological symptoms and β-catenin for endometrial hyperplasia and carcinoma: a cross-sectional study

BACKGROUND: Demographic features, suggestive gynaecological symptoms, and immunohistochemical expression of endometrial β-catenin have a prognostic capacity for endometrial hyperplasia and carcinoma. This study assessed the interaction of all variables and developed risk stratification for endometri...

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Detalles Bibliográficos
Autores principales: Masadah, Rina, Maulana, Aries, Nelwan, Berti Julian, Ghaznawie, Mahmud, Miskad, Upik Anderiani, Tawali, Suryani, Rauf, Syahrul, Herman, Bumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680196/
https://www.ncbi.nlm.nih.gov/pubmed/38008739
http://dx.doi.org/10.1186/s12905-023-02790-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680196/
https://www.ncbi.nlm.nih.gov/pubmed/38008739
http://dx.doi.org/10.1186/s12905-023-02790-6

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