Cargando…
The Use of Machine Learning to Create a Risk Score to Predict Survival in Patients with Hepatocellular Carcinoma: A TCGA Cohort Analysis
INTRODUCTION: Hepatocellular carcinoma (HCC) accounts for approximately 90% of primary liver malignancies and is currently the fourth most common cause of cancer-related death worldwide. Due to varying underlying etiologies, the prognosis of HCC differs greatly among patients. It is important to dev...
Autores principales: | Tohme, Samer, Yazdani, Hamza O, Rahman, Amaan, Handu, Sanah, Khan, Sidrah, Wilson, Tanner, Geller, David A, Simmons, Richard L, Molinari, Michele, Kaltenmeier, Christof |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8651371/ https://www.ncbi.nlm.nih.gov/pubmed/34888264 http://dx.doi.org/10.1155/2021/5212953 |
Ejemplares similares
-
The Role of Neutrophils as a Driver in Hepatic Ischemia-Reperfusion Injury and Cancer Growth
por: Kaltenmeier, Christof, et al.
Publicado: (2022) -
Neutrophil Extracellular Traps (NETs) in Cancer Metastasis
por: Kaltenmeier, Christof, et al.
Publicado: (2021) -
Neutrophil Extracellular Traps Promote T Cell Exhaustion in the Tumor Microenvironment
por: Kaltenmeier, Christof, et al.
Publicado: (2021) -
Role of Immuno-Inflammatory Signals in Liver Ischemia-Reperfusion Injury
por: Kaltenmeier, Christof, et al.
Publicado: (2022) -
The Pathobiological Basis for Thrombotic Complications in COVID-19: a Review of the Literature
por: Hoteit, Lara, et al.
Publicado: (2021)