MODEL OF HUMAN WEIGHT CORRECTION BASED ON INTERVAL DATA ANALYSIS

Authors

  • Svitlana Krepych
  • Iryna Spivak

Keywords:

weight correction model, interval data analysis, random parameters search methods.

Abstract

Scientists have been engaged in research on issues of excessive person’s body weight, which causes the obesity problem, for a long time. At the beginning of the 20th century the obesity problem was admitted as a medical illness. Therefore, the study of this problem and the search for solutions to it are an urgent task. At the same time, overweight people are reluctant to see doctors-dietitians due to many circumstances. They usually look for easy ways to solve their problems, and nowadays, one of these ways is the global network Internet. However, in the Internet one can only find websites with information about the caloric content of products, obesity problems, different kinds of diet, etc. The development of special software product that would allow us to simulate the process of weight loss and on its basis to automatically develop the “individual” diet is an urgent task.

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Published

2020-03-31

How to Cite

Krepych, S., & Spivak, I. (2020). MODEL OF HUMAN WEIGHT CORRECTION BASED ON INTERVAL DATA ANALYSIS. International Journal of Computing, 19(1), 128-136. Retrieved from http://computingonline.net/computing/article/view/1701

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