Disclosed are systems and methods for building and using a machine-learning model to facilitate intelligent selection of treatment strategies for subjects suffering from hemophilia. Sensor data (e.g., that characterizes movement of or a physiological characteristic of particular a subject) can be used as an input to a machine-learning model workflow. The sensor data may affect a model selection, model configuration, model result, pre‑processing and/or post-processing. A result of the workflow may inform or influence a treatment selection, treatment schedule, treatment dosage and/or activity recommendation for the particular subject.
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