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Study on Finding Conflicts and Story Building to Detect Obesity in India

by Madhumita Mahapatra, Krishna Kumar Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 36
Year of Publication: 2021
Authors: Madhumita Mahapatra, Krishna Kumar Singh
10.5120/ijca2021921743

Madhumita Mahapatra, Krishna Kumar Singh . Study on Finding Conflicts and Story Building to Detect Obesity in India. International Journal of Computer Applications. 183, 36 ( Nov 2021), 1-10. DOI=10.5120/ijca2021921743

@article{ 10.5120/ijca2021921743,
author = { Madhumita Mahapatra, Krishna Kumar Singh },
title = { Study on Finding Conflicts and Story Building to Detect Obesity in India },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2021 },
volume = { 183 },
number = { 36 },
month = { Nov },
year = { 2021 },
issn = { 0975-8887 },
pages = { 1-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number36/32160-2021921743/ },
doi = { 10.5120/ijca2021921743 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:18:47.351395+05:30
%A Madhumita Mahapatra
%A Krishna Kumar Singh
%T Study on Finding Conflicts and Story Building to Detect Obesity in India
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 36
%P 1-10
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Story building method is one of the most effective method to find solutions of real time problems. Obesity detection and prevention in the context of Indian subjects are prime concern today. Many diseases occur because of long existence of obesity. Obesity rate in India is 3.9% in respect to 16.6% average in the world according to world population review. Average overweight population is India is around 16%. But it is growing day by day with larger pace which is great cause of concern. In this paper, researchers used story building method to find different conflicts in the data and provide resolution based on it. After finding conflicts in the data researchers build story on it and proposes solution of detecting and preventing obesity in India. This easiest method to detect and prevent obesity without much knowledge of statistical algorithm. Authors found different key influencers in the data to find factors mostly contributing on obesity in particular type of subject.

References
  1. Anderson, Brian J., and Nick HG Holford. "Getting the dose right for obese children." (2017): 54-55.
  2. Frye, C., and J. Heinrich. "Trends and predictors of overweight and obesity in East German children." International journal of obesity 27, no. 8 (2003): 963-969.
  3. Geiss, H.C., Parhofer, K.G. and Schwandt, P., 2001. Parameters of childhood obesity and their relationship to cardiovascular risk factors in healthy prepubescent children. International Journal of Obesity, 25(6), pp.830-837.
  4. Wardle, J., Guthrie, C., Sanderson, S., Birch, L. and Plomin, R., 2001. Food and activity preferences in children of lean and obese parents. International journal of obesity, 25(7), pp.971-977.
  5. Lake, Julie K., Chris Power, and Tim J. Cole. "Child to adult body mass index in the 1958 British birth cohort: associations with parental obesity." Archives of disease in childhood 77, no. 5 (1997): 376-380.
  6. Widhalm, K., K. Schönegger, C. Huemer, and A. Auterith. "Does the BMI reflect body fat in obese children and adolescents? A study using the TOBEC method." International Journal of Obesity 25, no. 2 (2001): 279-285.
  7. Page, Kathleen A., Shan Luo, Xinhui Wang, Ting Chow, Jasmin Alves, Thomas A. Buchanan, and Anny H. Xiang. "Children exposed to maternal obesity or gestational diabetes mellitus during early fetal development have hypothalamic alterations that predict future weight gain." Diabetes Care 42, no. 8 (2019): 1473-1480.
  8. Singh, Krishna Kumar, PritiDimri, and Madhu Rawat. "Green database model for stock market: a case study of Indian stock market." In 2014 5th International Conference-Confluence The Next Generation Information Technology Summit (Confluence), pp. 848-853. IEEE, 2014.
  9. Rolland-Cachera, M. F., M. Deheeger, M. Maillot, and F. Bellisle. "Early adiposity rebound: causes and consequences for obesity in children and adults." International journal of obesity 30, no. 4 (2006): S11-S17.
  10. Martorell, R., L. Kettel Khan, M. L. Hughes, and L. M. Grummer-Strawn. "Overweight and obesity in preschool children from developing countries." International journal of obesity 24, no. 8 (2000): 959-967.
  11. Lobstein, T. J., W. P. T. James, and T. J. Cole. "Increasing levels of excess weight among children in England." International journal of obesity 27, no. 9 (2003): 1136-1138.
  12. Reinehr, T., K. Brylak, U. Alexy, M. Kersting, and W. Andler. "Predictors to success in outpatient training in obese children and adolescents." International journal of obesity 27, no. 9 (2003): 1087-1092.
  13. Arenz, Stephan, R. Rückerl, BerthodKoletzko, and Rudiger von Kries. "Breast-feeding and childhood obesity—a systematic review." International journal of obesity 28, no. 10 (2004): 1247-1256.
Index Terms

Computer Science
Information Sciences

Keywords

Storytelling obesity visual analytics conflict finding

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