Abstract: Introduced here are diabetes management platforms able to guide people with diabetes toward a glycemic target. Rather than state the absolute amount of glucose within the blood, the diabetes management platform can instead produce personalized glycemic goals based on the physiological data associated with an individual. For example, if the diabetes management platform determines that the time spent within a first glycemic range exceeds a specified threshold, then the diabetes management platform may recommend that the individual attempt to keep their blood glucose level within a second glycemic range. Generally, the second glycemic range is closer than the first glycemic range to a target glycemic range corresponding to a healthy glycemic state.

Abstract: Introduced here are techniques for developing personalized retroactive insights into how contextual factors can affect glycemic responses. The personalized retroactive insights can be made available to the corresponding individual so that they can examine the impact certain contextual events have had on blood glucose level. A contextual event represents an activity or a circumstance that is related to glycemic response. Rather than state the absolute amount of certain molecules (e.g., carbohydrates, protein, or fat) in a foodstuff, an insight detection platform can instead interpret disparate data types to discover the effect certain contextual events have on blood glucose level.