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Medal: a patient similarity metric using medication prescribing patterns
[article]
2019
medRxiv
pre-print
Patient similarity offers an exciting potential to improve our understanding of treatment patterns. Medication history is a valuable source of information given the clinical considerations taken during the physician's prescription process. However, available similarity methods do not consider timeliness of event occurrence in the longitudinal care of patients. In this observational cohort study, we propose an event alignment algorithm, Medal, which uses a dynamic programming approach for
doi:10.1101/19004440
fatcat:3o7go6bmivh6dmgxhy7smolngu