Cargando…
An artificial immune system with bootstrap sampling for the diagnosis of recurrent endometrial cancers
Endometrial cancer is one of the most common gynecological malignancies in developed countries. The prevention of the recurrence of endometrial cancer has always been a clinical challenge. Endometrial cancer is asymptomatic in the early stage, and there remains a lack of time-series correlation patt...
Autores principales: | Chang, Chih-Yen, Lu, Yen-Chiao (Angel), Ting, Wen-Chien, Shen, Tsu-Wang (David), Peng, Wen-Chen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7863001/ https://www.ncbi.nlm.nih.gov/pubmed/33585700 http://dx.doi.org/10.1515/med-2021-0226 |
Ejemplares similares
-
Machine Learning in Prediction of Second Primary Cancer and Recurrence in Colorectal Cancer
por: Ting, Wen-Chien, et al.
Publicado: (2020) -
The Predictive Value of Systemic Immune-Inflammation Index on Bladder Recurrence on Upper Tract Urothelial Carcinoma Outcomes after Radical Nephroureterectomy
por: Chien, Tsu-Ming, et al.
Publicado: (2021) -
Consistency for the tree bootstrap in respondent-driven sampling
por: Green, A K B, et al.
Publicado: (2020) -
Bootstrap
por: Spurlock, Jake
Publicado: (2013) -
Predict Early Recurrence of Resectable Hepatocellular Carcinoma Using Multi-Dimensional Artificial Intelligence Analysis of Liver Fibrosis
por: Liu, I-Ting, et al.
Publicado: (2021)