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Research Article | Open Access |

Development of knowledge Base Expert System for Natural treatment of Diabetes disease

Author 1: Sanjeev Kumar Jha Author 2: D.K.Singh
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 3, No. 3 · Published 2012 · Cited by 13

DOI: 10.14569/IJACSA.2012.030308

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Abstract

The development of expert system for treatment of Diabetes disease by using natural methods is new information technology derived from Artificial Intelligent research using ESTA (Expert System Text Animation) System. The proposed expert system contains knowledge about various methods of natural treatment methods (Massage, Herbal/Proper Nutrition, Acupuncture, Gems) for Diabetes diseases of Human Beings. The system is developed in the ESTA (Expert System shell for Text Animation) which is Visual Prolog 7.3 Application. The knowledge for the said system will be acquired from domain experts, texts and other related sources.

Keywords

Expert System ESTA Natural treatment Diabetes.

How to Cite this Article

Jha, S. K., & D.K.Singh (2012). Development of knowledge Base Expert System for Natural treatment of Diabetes disease. International Journal of Advanced Computer Science and Applications, 3(3). https://doi.org/10.14569/IJACSA.2012.030308

Jha, Sanjeev Kumar, and D.K.Singh. "Development of knowledge Base Expert System for Natural treatment of Diabetes disease." International Journal of Advanced Computer Science and Applications, vol. 3, no. 3, 2012, https://doi.org/10.14569/IJACSA.2012.030308.

@article{Jha2012,
  title     = {Development of knowledge Base Expert System for Natural treatment of Diabetes disease},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {3},
  number    = {3},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Sanjeev Kumar Jha and D.K.Singh},
  doi       = {10.14569/IJACSA.2012.030308},
  url       = {https://doi.org/10.14569/IJACSA.2012.030308}
}

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Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
Review Notification November 15, 2026
Publication Date November 30, 2026
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