Machine learning and Systems Approaches in Relation of Helicobacter pylori To Ageing Diseases

Authors

  • Kumari DK Dept. Of Microbiology and Bioinformatics, UTD, Bilaspur University, Bilaspur (CG), India
  • Kaladhar DSV Dept. Of Microbiology and Bioinformatics, UTD, Bilaspur University, Bilaspur (CG), India

Keywords:

Helicobacter pylori, Ageing diseases, Systems approaches, Machine learning

Abstract

Helicobacter pylori is one of the bacterial pathogen showing great effect and associations with ageing diseases. The complex data prediction was done with Weka software. When compared with data distribution between Males and Females in relation with class H.pylori, it is shown that females are more prone to ageing diseases (especially gastric and Obesity). Cluster Centroids method was predicted with more chances for people in Urban regions with family history suffers gastric, expiry due to heart stoke with gastric, drink tea, with tension and stress. AD Tree shown positive for H.pylori (N) showing stomach pain, family suffered previously and Age >29.5. Subset Evaluator method was shown that Stomach pain, Aging diseases and smoking are the attributes associated with H.pylori. The highest accuracy for the data was predicted with random Forest and K Star followed by J48, Bayes Net, Naive Bayes, LMT and Simple Cost

References

N. M. Nasrabadi, “Pattern recognition and machine learning”, Journal of electronic imaging, Vol. 16, Issue. 4, pp. 049901, 2007.

D. W. Aha, D. Kibler, M. K. Albert, “Instance-based learning algorithms”, Machine learning, Vol.6, Issue. 1, pp. 37-66, 1991.

R. S. Michalski, “Learnable evolution model: Evolutionary processes guided by machine learning”, Machine learning, Vol. 38, Issue. 1-2, pp. 9-40, 2000.

R. P. Kumar, M. Rao, D. Kaladhar, “Data categorization and noise analysis in mobile communication using machine learning algorithms”, Wireless Sensor Network, Vol. 4, Issue. 4, pp. 113, 2012.

P. N. Rao, T. Devi, D. Kaladhar, G. Sridhar, A. A. Rao, “A Probabilistic Neural Network Approach For Protein Superfamily Classification”, Journal of Theoretical & Applied Information Technology, Vol. 6, Issue. 1, pp.101-105, 2009.

A. Dubois, “Spiral bacteria in the human stomach: the gastric helicobacters”, Emerging infectious diseases, Vol. 1, Issue. 3, pp. 79, 1995.

A. Mehmood, M. Akram, A. A. Shahab-uddin, K. Usmanghani, A. Hannan, E. Mohiuddin, M. Asif, “Helicobacter pylori: an introduction”, International Journal of Applied Biology and Pharmaceutical Technology, Vol.1, Issue.3, pp. 1337-1351, 2010.

T. S. Bharath, M. S. Reddy, R. Dhanapal, N. G. R. Kumar, P. N. Raju, T. R. Saraswathi, “Molecular detection and corelation of Helicobacter pylori in dental plaque and gastric biopsies of dyspeptic patients”, Journal of oral and maxillofacial pathology: JOMFP, Vol. 18, Issue. 1, pp. 19, 2014.

J. Lynch, G. D. Smith, “A life course approach to chronic disease epidemiology”, Annu. Rev. Public Health, Vol. 26, pp. 1-35, 2005.

W. D. Chey, G. I. Leontiadis, C. W. Howden, S. F. Moss, “ACG clinical guideline: treatment of Helicobacter pylori infection”, The American journal of gastroenterology, Vol. 112, Issue.2, pp. 212, 2017.

T. Farooqui, A. A. Farooqui, “Aging: an important factor for the pathogenesis of neurodegenerative diseases”, Mechanisms of ageing and development, Vol.130, Issue.4, pp. 203-215, 2009.

J. Danesh, R. Collins, R. Peto, “Chronic infections and coronary heart disease: is there a link?”, The lancet, Vol.350, Issue. 9075, pp. 430-436, 1997.

P. H. Whincup, M. A. Mendall, I. J. Perry, D. P. Strachan, M. Walker, “Prospective relations between Helicobacter pylori infection, coronary heart disease, and stroke in middle aged men”, Heart, Vol.75, Issue.6, pp. 568-572, 1996.

G. Gavazzi, K. H. Krause, “Ageing and infection”, The Lancet infectious diseases, Vol.2, Issue. 11, pp. 659-666, 2002.

D. Rothenbacher, H. Brenner, “Burden of Helicobacter pylori and H. pylori-related diseases in developed countries: recent developments and future implications”, Microbes and Infection, Vol.5, Issue. 8, pp. 693-703, 2003.

M. G. Hertog, D. Kromhout, C. Aravanis, H. Blackburn, R. Buzina, F. Fidanza, Simona Giampaoli, Annemarie Jansen, Alessandro Menotti, Srecko Nedeljkovic, Maija Pekkarinen, B. S. Simic, Hironori Toshima, E. J. M. Feskens, P. C. H. Hollman, M.

B. Katan, “Flavonoid intake and long-term risk of coronary heart disease and cancer in the seven countries study”, Archives of internal medicine, Vol.155, Issue. 4, pp. 381-386, 1995

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Published

2025-11-24

How to Cite

[1]
D. S. Kumari and D. Kaladhar, “Machine learning and Systems Approaches in Relation of Helicobacter pylori To Ageing Diseases”, Int. J. Comp. Sci. Eng., vol. 7, no. 3, pp. 202–205, Nov. 2025.

Issue

Vol. 7 No. 3 (2019): IJCSE Special Issue Feb Edition

Section

Research Article

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