A Preliminary Investigation Report of Glaucoma Risk and Four Basic Metabolism Biomarkers using Viscoplastic Energy Model Of GH-Method: Math-Physical Medicine (No. 1076, VMT #473)
Abstract:
This study highlights three main findings. First, an examination of the time-domain curves for his glaucoma risk and four inputs revealed that his glaucoma risk fluctuated between 2015 and 2024, with an average risk level of 60%. His glaucoma risk was high at 62% in 2015 due to his diabetes and at 63% in 2023 due to aging. In between, the risk percentages fluctuated. Since he was just diagnosed with glaucoma in 2024 and his risk was 63% in 2023, it seems that when his risk percentage reached around 60%, he developed glaucoma condition. In other words, during the past 9.5 years, he has lived with the potential threat of glaucoma. Over the same period, his body weight and glucose levels improved (moving downward), and his blood pressure and cholesterol remained within healthy ranges. Second, according to the space-domain viscoplastic medicine theory (SD-VMT) energy distribution ratios: m1 weight = 29% m2 glucose = 26% m3 blood pressure = 26% m4 cholesterol = 19% Third, the time-zone energy distribution ratios were: Y15-Y19 = 45% Y20 -Y24 = 55% This indicates that the most significant contribution to his glaucoma risk occurred in the last 5 years.
