A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics

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Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations (2020, background): “Off-policy evaluation in reinforcement learning: In reinforcement learning, a similar problem to ours is off-policy evaluation, which uses retrospective observational data, also known as logged bandit feedback (Hoiles & Van Der Schaar, 2016; P˘aduraru et al., 2013; Doroudi et al., 2017).”
Artificial Intelligence in Medicine: 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings (2019, unknown): “This risk has been shown to be closely correlated to the delay in assist with first aid after the fall [7].”
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier (2017, methodology): “The recent works of (Yoon et al., 2016) and (Hoiles & van der Schaar, 2016) are more relevant to our application, as they both developed models using clinical time series to predict a more general condition of clinical deterioration, as observed by admission to the Intensive Care Unit.”