Abstract: A system determines onset of a prediabetic state and associated risk of type 2 diabetes without evidential symptoms. In an implementation, a computer implemented method for monitoring an onset and progress of prediabetes in an individual includes periodically capturing an insulin level of an individual and a blood glucose level of the individual over a predetermined time interval for a predefined period, deriving an insulin production trend or a relative insulin resistivity trend over the predefined period, wherein the relative insulin resistivity is a ratio of an insulin level and a blood glucose level, wherein the trends are indicative of trend categories comprising an increasing trend, a steady trend and a decreasing trend, and determining a status of prediabetes in the individual based on at least one of the insulin production trend, relative insulin resistivity trend, and personal data of the individual.

Abstract: A computer-implemented method for recommending an optimum insulin bolus dosage to a patient is described. The computer-implemented method includes receiving diabetes related data from the patient. The computer implemented method further includes determining a plurality of insulin bolus dosages using a plurality of insulin bolus calculators. The plurality of insulin bolus dosages are calculated based on the diabetes related data. Thereafter, an optimum insulin bolus dosage is determined based on the plurality of insulin bolus dosages. The optimum insulin bolus dosage is then presented to the patient.