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Learning Optimal Individualized Treatment Rules from Electronic Health Record Data.

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Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes.

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Active Clinical Trials for Personalized Medicine.

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Multi-Objective Markov Decision Processes for Data-Driven Decision Support.

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Comment.

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Estimating personalized diagnostic rules depending on individualized characteristics.

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Greedy outcome weighted tree learning of optimal personalized treatment rules.

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Reinforced Angle-based Multicategory Support Vector Machines.

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Optimal dynamic treatment regimes

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