A Review on Iris Based Diabetes Detection Using Machine Leaning Techniques
Abstract & Details
Research Area
Computer Science & Engineering
Keywords
Diebetes
Machine Learning
Iris
Medical
Clinical
Diagonosis.
Abstract
Iris image investigation for clinical finding is quite possibly the most productive non-obtrusive determination strategies for deciding wellbeing status of different parts of human body. Right and ideal conclusion is a basic, yet fundamental necessity of clinical science. From the study, it is tracked down that current cutting edge innovation fails in showing or detecting the disease properly. In this paper we present some of the reviews of the literatures for Iris based diabetes detection. Through these techniques the iris data are taken and applied machine learning techniques for early detection of diabetics.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Ms. P Pinky | Columbia Institute of Engineering & Technology |
| 2 | Mr. Dharmendra Kaushik | Columbia Institute of Engineering & Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Pinky, Ms. P & Kaushik, Mr. Dharmendra (2021). A Review on Iris Based Diabetes Detection Using Machine Leaning Techniques. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 1944-1947.
MLA Style
Pinky, Ms. P, and Mr. Dharmendra Kaushik. "A Review on Iris Based Diabetes Detection Using Machine Leaning Techniques." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 1944-1947.
IEEE Style
Ms. P Pinky and Mr. Dharmendra Kaushik, "A Review on Iris Based Diabetes Detection Using Machine Leaning Techniques," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 1944-1947, 2021.
Vancouver Style
Pinky Ms. P, Kaushik Mr. Dharmendra. A Review on Iris Based Diabetes Detection Using Machine Leaning Techniques. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):1944-1947.
Harvard Style
Pinky, Ms. P & Kaushik, Mr. Dharmendra (2021) 'A Review on Iris Based Diabetes Detection Using Machine Leaning Techniques', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 1944-1947.
Chicago Style
Pinky, Ms. P and Mr. Dharmendra Kaushik. "A Review on Iris Based Diabetes Detection Using Machine Leaning Techniques." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 1944-1947.
Turabian Style
Pinky, Ms. P and Mr. Dharmendra Kaushik. "A Review on Iris Based Diabetes Detection Using Machine Leaning Techniques." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 1944-1947.
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