Development and Validation of the Random Forest Model via Combining CT-PET Image Features and Demographic Data for Distant Metastases among Lung Cancer Patients

The work aimed at developing and validating a random forest model of CT-PET image features combined with demographic data to diagnose distant metastases among lung cancer patients. This study involved lung cancer patients from The Cancer Genome Atlas lung adenocarcinoma (TCGA-LUAD) dataset, the lung...

Descripción completa

Detalles Bibliográficos
Autores principales: Bi, Lijun, Guo, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767733/
https://www.ncbi.nlm.nih.gov/pubmed/36561373
http://dx.doi.org/10.1155/2022/7793533

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767733/
https://www.ncbi.nlm.nih.gov/pubmed/36561373
http://dx.doi.org/10.1155/2022/7793533

Ejemplares similares