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Abstract

A system to analyze data for neurostimulation programming may include capabilities to collect and analyze relevant input data (training data) for training a neurostimulation programming model. In an example, the system may: determine usage of a particular neurostimulation treatment, for a neurostimulation treatment that is associated with a set of parameters used by a neurostimulation device to deliver neurostimulation to a patient; evaluate patient feedback data (e.g., obtained from the patient) associated with the usage of the neurostimulation treatment; calculate, based on the patient feedback data, an amount of training data required to perform training operations on a programming selection model, with such training data being provided at least in part from the patient feedback data and optionally device data. In a further example, the training operations on the programming selection model enable an updated set of parameters to be generated for the neurostimulation device, such as with closed-loop programming.

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