Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer

Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer

We investigated the data-driven relationship between immune cell composition in the tumor microenvironment (TME) and the ≥5-year survival rates of breast cancer patients using explainable artificial intelligence (XAI) models. We acquired TCGA breast invasive carcinoma data from the cbioPortal and re...

Full description

Bibliographic Details
Main Authors: Debaditya Chakraborty, Cristina Ivan, Paola Amero, Maliha Khan, Cristian Rodriguez-Aguayo, Hakan Başağaoğlu, Gabriel Lopez-Berestein
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Cancers
Subjects:
explainable artificial intelligence (XAI)
machine learning
breast cancer
tumor microenvironment
survival analysis
Online Access:https://www.mdpi.com/2072-6694/13/14/3450

Internet

https://www.mdpi.com/2072-6694/13/14/3450

Similar Items