Fig. 11From: Lifelong Machine Learning and root cause analysis for large-scale cancer patient dataOverall survival by cancer causing gene TP53TG5 along with Gleason score clustered into 3 groups (6–7, 8, and 9–10). The data is clustered by proposed hybrid streaming clustering step discussed in “Streaming clustering step” section. The plot shows strong possibility of being diagnosed with prostate cancer with a gene TP53TG5 expression level of 0.5 to 1.5 and Gleason score between 6 to 7Back to article page