Cargando…
A hybrid machine learning-based method for classifying the Cushing's Syndrome with comorbid adrenocortical lesions
BACKGROUND: The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. It follows from a comprehensive statistical analysis that a number of antigens such as hTERT, PCNA and Ki-67 can be considered as cancer markers, while an...
Autores principales: | Yang, Jack Y, Yang, Mary Qu, Luo, Zuojie, Ma, Yan, Li, Jianling, Deng, Youping, Huang, Xudong |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2386065/ https://www.ncbi.nlm.nih.gov/pubmed/18366613 http://dx.doi.org/10.1186/1471-2164-9-S1-S23 |
Ejemplares similares
-
Cushing Syndrome due to Adrenocortical Carcinoma During Pregnancy
por: Morris, Jack Andrew, et al.
Publicado: (2023) -
Classic Cushing’s syndrome in a patient with adrenocortical carcinoma
por: Adkins, Katelyn M., et al.
Publicado: (2015) -
Bilateral Adrenocortical Adenomas along with Virilization and Cushing's Syndrome
por: Kobayashi, Toshihiro, et al.
Publicado: (2018) -
Screening and identification of key biomarkers in adrenocortical carcinoma based on bioinformatics analysis
por: Xing, Zengmiao, et al.
Publicado: (2019) -
Comorbidities in Cushing’s disease
por: Sharma, S. T., et al.
Publicado: (2015)