Abstract

  The author uses the GH-Method: math-physical medicine approach to investigate the following three sets of dual-relationship among the three metabolic parameters.

References

1. Hsu Gerald C. “Using Math-Physical Medicine to Control T2D via Metabolism Monitoring and Glucose Predictions”. Journal of Endocrinology and Diabetes1 (2018): 1-6.
2. Hsu Gerald C. “Using Math-Physical Medicine to Analyze Metabolism and Improve Health Conditions”. Video presented at the meeting of the 3^rd International Conference on Endocrinology and Metabolic Syndrome, Amsterdam, Netherlands (2018).
3. Hsu Gerald C. “Using Signal Processing Techniques to Predict PPG for T2D”. International Journal of Diabetes and Metabolic Disorders2 (2018): 1-3.
4. Hsu Gerald C. “Using Math-Physical Medicine and Artificial Intelligence Technology to Manage Lifestyle and Control Metabolic Conditions of T2D”. International Journal of Diabetes and its Complications3 (2018): 1-7.
5. Hsu Gerald C. “A Clinic Case of Using Math-Physical Medicine to Study the Probability of Having a Heart Attack or Stroke Based on Combination of Metabolic Conditions, Lifestyle, and Metabolism Index”. Journal of Clinical Review and Case Reports5 (2018): 1-2.

Citation

Citation: Gerald C Hsu. “Clinical Case B Using Big Data Analytics and Spatial Analysis to Investigate the Triangular Dual-Correlations among Weight, Glucose, and Blood Pressure (Using GH-Method: Math-Physical Medicine)". Acta Scientific Pharmacology 1.6 (2020): 08-10.

Copyright

Copyright: © 2020 Gerald C Hsu. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.