Abstract: A method of diabetes analysis includes receiving a plurality of glucose level readings for a user. A common event occurrence in at least two of the glucose level readings is determined. The at least two glucose level readings from the common event occurrence onwards in time for a time period is analyzed. A glucose level pattern formed by the at least two glucose level readings having a similar shape is determined. At least one anomalous glucose level reading having the similar shape and not conforming to the glucose level pattern is analyzed. The at least one anomalous glucose level reading is adapted to the pattern to form an adapted glucose level pattern. An insulin dosage for the time period beginning at the common event occurrence is calculated based on the adapted glucose level pattern.

Abstract: A method of diabetes analysis includes obtaining average glucose level information for a time period over a plurality of days. A current event occurrence is determined. An event occurrence in the average glucose level information within the time period corresponding to the current event occurrence is determined, where the current event occurrence is at a different time of day than the event occurrence. The average glucose level information starting in time from the event occurrence within the time period is analyzed. A notification event in the average glucose level information starting in time from the event occurrence within the time period is determined. A current notification event in time from the current event occurrence is predicted based on a time span from the event occurrence to the notification event in the average glucose level information. An action is initiated in advance of the predicted current notification event.

Abstract: A method of diabetes analysis includes receiving a plurality of glucose level readings for a user. A common event occurrence in at least two of the glucose level readings is determined. The at least two glucose level readings from the common event occurrence onwards in time for a time period is analyzed. A glucose level pattern formed by the at least two glucose level readings having a similar shape is determined. At least one anomalous glucose level reading having the similar shape and not conforming to the glucose level pattern is analyzed. The at least one anomalous glucose level reading is adapted to the pattern to form an adapted glucose level pattern. An insulin dosage for the time period beginning at the common event occurrence is calculated based on the adapted glucose level pattern.

Abstract: A method of providing bolus dosage recommendations for diabetics includes presenting a plurality of representative foods to a user. The user's response to estimate a carbohydrate value for each one of the plurality of representative foods is received. An input is then received from the user indicating a food to be consumed and an estimated carbohydrate value for the food to be consumed. A bolus dosage recommendation is calculated based on the input from the user and the user's response to estimate the carbohydrate value for at least one of the plurality of representative foods.