Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study

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Reinforcement Learning in Healthcare: A Survey (2019, methodology): “[246], [269] proposed a novel clinical diagnosis inferencing approach that applied DQN to incrementally learn about the most appropriate clinical concepts that best describe the correct diagnosis by using evidences gathered from relevant external resources”
Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning (2017, background): “Other works have explored graph-based reasoning methods to incorporate relevant medical concepts and their associations (Shi et al., 2017; Geng and Zhang, 2014; Goodwin and Harabagiu, 2016; Zheng and Wan, 2016; Ling et al., 2017a).”