Using Three Analysis Methods: Time-Series, Spatial, And Frequency-Domain to Analyze and Forecast Key Diabetes Biomedical Variables (GH-Method: MathPhysical Medicine)
Author(s):
Gerald C Hsu
This paper describes the author’s application of Time-Series Analysis, Spatial Analysis, and Frequency-Domain Analysis (including wave theory, Candlestick charting, segmentation pattern analysis) to analyze and forecast certain biomedical key variables of type 2 diabetes (T2D) conditions. The dataset is provided by the author, who uses his own type 2 diabetes metabolic conditions control, as a case study via the “math-physical medicine” approach of a nontraditional methodology in medical research.