Abstract: Embodiment relate to a system for developing a model to classify continuous glucose monitoring (CGM) data. The system includes a processor and computer memory having instructions stored thereon that when executed will cause the processor to determine whether two CGM profiles match based on a similarity of shapes of the two CGM profiles, each CGM profile including a data set of CGM measurements. The processor designates two matching CGM profiles as a CGM profile pair. The processor transforms the CGM profile pair into a motif. The processor labels the motif as a labelled motif based on a clinical characteristic. The processor recursively repeats the determine, designate and transform steps of a CGM profile pairing process until a finite set of motifs is created, which includes the labelled motif as a classified data point. The processor monitor, analyzes, or influences a concentration of glucose levels in a fluid.