A Study of Different Knowledge Patterns in Diabetic Using Data Mining Techniques

Malpe Kalpana Devidas; Dr. Neeraj Sharma

A Study of Different Knowledge Patterns in Diabetic Using Data Mining Techniques

January 2022

Vol-4, Issue-1

Paper ID: 15862

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

COMPUTER SCIENCE ENGINEERING

Keywords

Diabetes Data Mining Weka Tool Diagnosis Prediction Naïve Bayes Classifier Technique.

Abstract

This research work was conducted on the design and implementation of a diabetes prediction system, a case study of Fudawa Health Centre. This research will help in automating prediction of diabetes even before clinicians arrived. The current process of carrying this activity is manually which tends not to analyzing data flexible for the doctors, and transmission of information is not transparent. The system was design using Java Programming Language, Weka Tool, and MySQL (Microsoft Structured Query Language) as the back end and a strategic approach to analyse the existing system was taking in order to meets the demands of this system and solve the problems of the existing system by implementing the naïve beyes classifier. The implementation of this new system will help to reduce the stressful process, doctors’ face during prediction of diabetes, the result of the experiment shows that the proposed system has a better prediction in terms of accuracy.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Malpe Kalpana Devidas	Research Scholar, Department of Computer Science Engineering, of Sri Satya Sai University of Technology & Medical Sciences, Sehore, M.P., India
2	Dr. Neeraj Sharma	Research Supervisor, Department of Computer Science Engineering, of Sri Satya Sai University of Technology & Medical Sciences, Sehore, M.P., India

How to Cite

Use the following formats to cite this article in your research.

APA Style

Devidas, Malpe Kalpana & Sharma, Dr. Neeraj (2022). A Study of Different Knowledge Patterns in Diabetic Using Data Mining Techniques. International Journal of Advance Research and Innovative Ideas In Education, 4(1), 1728-1733.

MLA Style

Devidas, Malpe Kalpana, and Dr. Neeraj Sharma. "A Study of Different Knowledge Patterns in Diabetic Using Data Mining Techniques." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 1, 2022, pp. 1728-1733.

IEEE Style

Malpe Kalpana Devidas and Dr. Neeraj Sharma, "A Study of Different Knowledge Patterns in Diabetic Using Data Mining Techniques," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 1, pp. 1728-1733, 2022.

Vancouver Style

Devidas Malpe Kalpana, Sharma Dr. Neeraj. A Study of Different Knowledge Patterns in Diabetic Using Data Mining Techniques. International Journal of Advance Research and Innovative Ideas In Education. 2022;4(1):1728-1733.

Harvard Style

Devidas, Malpe Kalpana & Sharma, Dr. Neeraj (2022) 'A Study of Different Knowledge Patterns in Diabetic Using Data Mining Techniques', International Journal of Advance Research and Innovative Ideas In Education, 4(1), pp. 1728-1733.

Chicago Style

Devidas, Malpe Kalpana and Dr. Neeraj Sharma. "A Study of Different Knowledge Patterns in Diabetic Using Data Mining Techniques." International Journal of Advance Research and Innovative Ideas In Education 4, no. 1 (2022): 1728-1733.

Turabian Style

Devidas, Malpe Kalpana and Dr. Neeraj Sharma. "A Study of Different Knowledge Patterns in Diabetic Using Data Mining Techniques." International Journal of Advance Research and Innovative Ideas In Education 4, no. 1 (2022): 1728-1733.