Fig. 2From: Lifelong Machine Learning and root cause analysis for large-scale cancer patient dataThe End-to-end flow of the proposed architecture. The method proceeds in two stages. (i) A hybrid clustering procedure creates a similar data profile and detects outliers. (ii) A Random Decision Forest process creates a decision graph on each anomalous clusters providing reasoning with root cause analysis and forecasting for future itemsBack to article page