Abstract
This paper presents an epidemiological study on the dietary fat that causes prostate cancer in an uncertainty environment. To study this relationship under the indeterminate environment, data from 30 countries are selected for the prostate cancer death rate and dietary fat level in the food. The neutrosophic correlation and regression line are fitted on the data. We note from the neutrosophic analysis that the prostate cancer death rate increases as the dietary fat level in the people increases. The neutrosophic regression coefficient also confirms this claim. From this study, we conclude that neutrosophic regression is a more effective model under uncertainty than the regression model under classical statistics. We also found a statistical correlation between dietary fat and prostate cancer risk.
Highlights
In modern society, cancer is the most widespread disease in both developed and under-developing countries
The present study showed that there is a strong relationship between the prostate cancer rate and dietary fat
We presented a neutrosophic regression model that can be used more effectively in the uncertainty environment than the classical regression model
Summary
Cancer is the most widespread disease in both developed and under-developing countries. The cancer disease, its symptoms and treatment impact the victim patients. Pointed out that high anxiety and depression is noted in cancer patients. According to Siegel et al [2], cancer is the disease that is the leading cause of death in the USA. As mentioned by Rahib et al [3], in 2030, it is expected the sufficient deaths because of cancer. Torre et al [5] pointed out that more than 37,000 prostate cancer cases are recorded every year in the UK. According to Jemal et al [6], prostate cancer increases with the increase in age. Lin et al [1] described that prostate cancer is a common urologic malignancy and results in a high death rate. Applegate et al [9]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
