Fig. 3
From: Lifelong Machine Learning and root cause analysis for large-scale cancer patient data
The repository contains over 32,000 patient cases including clinical data, treatment data, biopsy results, gene expression data, as well as a whole host of other information. There are about 21,000 parameters associated with each of the patients, majority of which is coming from gene expression data (>20,500) and remaining are other pathological identifiers (\({>}100\)). The objective is to improve overall survival days through root cause analysis and personalized medicine