This paper describes the author’s investigation into the prevention from having various cancers and his risk probability based on improvements on lifestyle and metabolism. His risk probabilities percentage of having cancer over the past 11 years with lower risk percentages (<50%) from 2014 - 2020 and higher risk percentages (>50%) from 2010 - 2013. It should be noted that the higher prediction accuracy occurred during 2015-2020 due to his collection of more completed data. (1) Year of 2010: 88% (2) Year of 2011: 74% (3) Year of 2012: 58% (4) Year of 2013: 55% (5) Year of 2014: 50% (6) Year of 2015: 48% (7) Year of 2016: 46% (8) Year of 2017: 45% (9) Year of 2018: 45% (10)Year of 2019: 45% (11)Year of 2020: 43% It seems that 50% is a reasonable “cut-off ” line between higher risk versus lower risk. The trend of the past 11 years risk probability percentages of having cancer from the viewpoint of cancer prevention is being reduced year after year, which is an encouraging fact. The calculated cancer prevention and risk probability results via lifestyle and metabolism have been validated by his many health examination reports from the past 20 years. This big data based on a dynamic simulation model and data mining using GH-Method: math-physical medicine approach can provide an early warning to which factors or areas to monitor in order to continuously improve his health conditions. The author wrote this article to share with other people, who may have similar interest in reducing their risk probability of getting cancer. As stated previously, he is not an expert on oncology but a research scientist in both lifestyle and metabolism. Metabolism and cancer have a strong relationship with one another; therefore, hopefully, his research method and preliminary findings would have some merit to help others to prevent them from getting cancer.
Women who adhere to cancer prevention guidelines face lower risk
