LOPEL learns patient-level embeddings of longitudinal medication trajectories using an ATC-informed tree kernel and a Wasserstein-based trajectory kernel, and the embeddings recover simulated clusters and identify four PWH subgroups.
Comparison of overall and comorbidity-free life expectancy between insured adults with and without HIV infection, 2000-2016.JAMA Network Open, 3(6):e207954, 2020
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Self-Supervised Representation Learning for Longitudinal Polypharmacy Patterns
LOPEL learns patient-level embeddings of longitudinal medication trajectories using an ATC-informed tree kernel and a Wasserstein-based trajectory kernel, and the embeddings recover simulated clusters and identify four PWH subgroups.