Using GH-Method: Math-Physical Medicine to Conduct Segmentation Analysis to Investigate the Impact of Weather Temperatures on Glucose (Both FPG And PPG)

This paper is based on big data collected from a period of1,420daysfrom 6/1/2015 to 4/21/2019 with a total of 4,260 data,including highest ambient temperature (weather) of each dayin degree Fahrenheit (°F), fasting plasma glucose (FPG) andpostprandial plasma glucose (PPG) in mg/dL. The dataset is providedby the author, who uses his own type 2 diabetes metabolic conditionscontrol, as a case study via the “math-physical medicine” approachof a non-traditional methodology in medical research.