Articles

A Step-By-Step Explanation on How to Apply the Distributional Data Analysis Tool of the Glucose Density (GD%) with Collected Finger-Piercing Daily Glucose Data Over 8.5 Months for Two Type 2 Diabetes Patients Based on GH-Method: Math-Physical Medicine (No. 517)

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Applying the Distributional Data Analysis Tool of Biomarker Density with the Collected Daily Data of 5 Biomarkers Over 7.5 Years from a Patient with Chronic Diseases to Investigate his Overall Health Conditions Based on GH-Method: Math-Physical Medicine (No. 516)

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Applying the Distributional Data Analysis Tool of Blood Pressure Density Along with the Collected Daily Data of Systolic Blood Pressure & Diastolic Blood Pressure Over the Past 7.5 Years from a Patient with Chronic Diseases to Investigate Heart Health Conditions Based on GH-Method: Math-Physical Medicine (No. 515)

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Applying the Distributional Data Analysis Tool of Heart Rate Density with Collected Daily Heart Rate Data from the Past 10-Years from a Type-2 Diabetes Patient to Investigate a Part of Heart Health Conditions Based on GH-Method: Math-Physical Medicine (No. 514)

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Applying the Distributional Data Analysis Tool, Glucose Density, with Collected Daily Finger Glucose Data from the Past 10-years Combined with the Continuous Glucose Monitoring Sensor Fasting Plasma Glucose Data from the Past 3-Years of a Patient with Chronic Diseases to Investigate the Close Relationship Between Weight and Glucose Based on GH-Method: Math-Physical Medicine (No. 513)

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Applying Distributional Data Analysis Tool of Weight Density to Investigate Weight Changes from Obesity to Normal Condition Over the Past 10 Years of a Chronic Disease Patient Based on GH-Method: Math-Physical Medicine (No. 512)

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Applying TBR/TIR/TAR or TxR Formulas Defined by the American Diabetes Association Along with the Concept and a Tool of Glucose Density (GD%) from Distributional Data Analysis to Investigate Four Annual Continuous Glucose Monitoring Sensor Collected Glucose Data of a Type 2 Diabetes Patient Based on GH-Method: Math-Physical Medicine (No. 511)

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Using Distributional Data Analysis Tools to Investigate the Glucose Density Distribution of the Mean Daily Glucose Values (eAG) for Three Type 2 Diabetes Patients Over an 18-Month Period Based on GH-Method: Math-Physical Medicine (No. 510)

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The Contribution of Glycemic Variability or Glucose Fluctuation in Risk Probability for Various Diabetic Complications Using Three Years of Continuous Glucose Monitor Sensor Data Based on GH-Method: Math-Physical Medicine (No. 451)

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A Comparison Study of Two Effective Glucose Equations Combined with Average Glucose and Average Glucose Fluctuations with Different Split Ratios Using Time Domain and Frequency Domain Analyses for 3+ Years of Data Based on GH-Method: Math-Physical Medicine (No. 459)

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