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Showing 8 of 8 academic articles

Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization

Senyefia Bosson-Amedenu, Emmanuel Ayitey, Francis Ayiah-Mensah, Luyton Asare • BMC Cancer (2025)

Abstract Background Frailty models are extensively utilized in survival analysis to address unobserved heterogeneity among individuals. However, selecting the most robust model for survival prediction, especially in the context of high-dime...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12885-025-14040-z

Predictive Value of Serum Cytokeratin 19 Level for the Feasibility of Conserving Ovaries in Endometrial Cancer

Jie Xu, Jie Xu, Can Chen, Can Chen et al. • Frontiers in Medicine (2021)

Objective: To determine the predictive value of cytokeratin 19 (CK19) for evaluating the safety of ovarian preservation in patients with endometrial cancer (EC).Methods: Five hundred and seventeen EC patients hospitalized from November 2010...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2021.670109

Cofilin-1, LIMK1 and SSH1 are differentially expressed in locally advanced colorectal cancer and according to consensus molecular subtypes

Annie Cristhine Moraes Sousa-Squiavinato, Renata Ivo Vasconcelos, Adriana Sartorio Gehren, Priscila Valverde Fernandes et al. • Cancer Cell International (2021)

Abstract Background Colorectal cancer (CRC) is among the deadliest cancers, wherein early dissemination of tumor cells, and consequently, metastasis formation, are the main causes of mortality and poor prognosis. Cofilin-1 (CFL-1) and its m...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12935-021-01770-w

Feasibility and effectiveness of automatic deep learning network and radiomics models for differentiating tumor stroma ratio in pancreatic ductal adenocarcinoma

Hongfan Liao, Jiang Yuan, Chunhua Liu, Jiao Zhang et al. • Insights into Imaging (2023)

Abstract Objective This study aims to compare the feasibility and effectiveness of automatic deep learning network and radiomics models in differentiating low tumor stroma ratio (TSR) from high TSR in pancreatic ductal adenocarcinoma (PDAC)...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13244-023-01553-z

mlr: Machine Learning in R

Bernd Bischl, Michel Lang, Lars Kotthoff, Patrick Schratz et al. (2013)

Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions. There is also an experimental extension for survival analysis, clustering and general, example-specific cost-sensiti...

OPENALEX Open Access DOI: https://doi.org/10.32614/cran.package.mlr