LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity

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Personalized Prescription for Comorbidity (2018, methodology): “Recently, two deep models are proposed to learn a nonlinear mapping from multiple diseases to multiple drugs based on EMRs [13,14], and achieve significant improvements.”
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination (2018, methodology): “Among them, Leap [26] formulates a multi-instance multi-label learning framework and proposes a variant of sequence-to-sequence model based on content-attention mechanism to predict combination of medicines given patient’s diagnoses.”