Method of hypoglycemia risk determination

Abstract

Presented herein are one or more software applications to help a user manager their diabetes. Embodiments and descriptions of the various applications are provided below in conjunction with an analyte measurement device.

1 - 116 . (canceled) 
     
     
         117 . A system for risk determination and treatment recommendation, the system comprising:
 one or more in vivo analyte monitoring systems, each comprising at least a portion of an analyte sensor in contact with a bodily fluid of a user;   one or more computing devices configured to collect a plurality of analyte concentration measurements generated by the one or more in vivo analyte monitoring systems, wherein the one or more computing devices comprises one or more processors and memory coupled thereto, the memory storing software that, when executed by the one or more processors, cause the one or more processors to perform the following steps:
 (a) determine a first central tendency value for the plurality of analyte concentration measurements corresponding to a time of day period; 
 (b) determine a first variability value for the plurality of analyte concentration measurements corresponding to the time of day period; 
 (c) determine, with reference to a data space defined by a range of central tendency analyte concentration values and a range of variability analyte concentration values where the data space comprises a plurality of zones, if a first zone of the plurality of zones includes the first central tendency value and the first variability value, wherein the first zone is associated with a higher variability, and 
 (d) if it is determined that the first central tendency value and the first variability value are included in the first zone, then output a recommendation related to reducing variability. 
   
     
     
         118 . The system of  claim 117 , wherein the recommendation relates to a meal or an overnight period. 
     
     
         119 . The system of  claim 117 , wherein the recommendation relates to food intake. 
     
     
         120 . The system of  claim 117 , wherein the recommendation relates to administration of medication. 
     
     
         121 . The system of  claim 117 , wherein the first zone is defined by a variability line, wherein the first zone includes a plurality of variability values that are greater than a variability value associated with the variability line. 
     
     
         122 . The system of  claim 121 , wherein the variability line is a vertical line, and wherein the variability value associated with the variability line is a value that the variability line intersects an x-axis. 
     
     
         123 . The system of  claim 117 , wherein a location of the variability line on an x-axis is dependent on a target line. 
     
     
         124 . The system of  claim 117 , wherein a location of the variability line on an x-axis is dependent on a hyporisk boundary line. 
     
     
         125 . The system of  claim 117 , wherein the analyte concentration measurements comprise glucose data. 
     
     
         126 . The system of  claim 117 , wherein the central tendency value is a median. 
     
     
         127 . The system of  claim 117 , wherein the central tendency value is a mean. 
     
     
         128 . A computer-implemented method for hypoglycemia risk determination and treatment recommendation, the method comprising:
 collecting, by one or more computing devices, a plurality of analyte concentration measurements generated by an in vivo analyte monitoring system, the in vivo analyte monitoring system comprising at least a portion of an analyte sensor that is in contact with a bodily fluid of a user;   executing, by one or more processors of the one or more computing devices, software configured to perform the following steps:   (a) determining a first central tendency value for the plurality of analyte concentration measurements corresponding to a time of day period;   (b) determining a first variability value for the plurality of analyte concentration measurements corresponding to the time of day period;   (c) determining, with reference to a data space defined by a range of central tendency values and a range of variability values where the data space comprises a plurality of zones, if a first zone of the plurality of zones includes the first central tendency value and the first variability value, wherein the first zone is associated with a higher variability, and   (d) if it is determined that the first central tendency value and the first variability value are included in the first zone, outputting a recommendation related to reducing variability.   
     
     
         129 . The method of  claim 128 , wherein the recommendation relates to a meal or an overnight period. 
     
     
         130 . The method of  claim 128 , wherein the recommendation relates to food intake. 
     
     
         131 . The method of  claim 128 , wherein the recommendation relates to administration of medication. 
     
     
         132 . The method of  claim 128 , wherein the first zone is defined by a variability line, wherein the first zone includes a plurality of variability values that are greater than a variability value associated with the variability line. 
     
     
         133 . The method of  claim 132 , wherein the variability line is a vertical line, and wherein the variability value associated with the variability line is a value that the variability line intersects an x-axis. 
     
     
         134 . The method of  claim 128 , wherein a location of the variability line on an x-axis is dependent on a target line. 
     
     
         135 . The method of  claim 128 , wherein a location of the variability line on an x-axis is dependent on a hyporisk boundary line. 
     
     
         136 . The method of  claim 128 , wherein the analyte concentration measurements comprise glucose data. 
     
     
         137 . The method of  claim 128 , wherein the central tendency value is a median. 
     
     
         138 . The method of  claim 128 , wherein the central tendency value is a mean.