DIABETES PREDICTION USING MACHINE LEARNING ALGORITHM
Abstract & Details
Research Area
Information Technology
Keywords
Keywords :- Random Forest Method(RF)
k-nearest neighbor Method(KNN)
Support Vector Machine(SVM)
Machine Learning
Prediction
Abstract
the purpose of the research is to make use of different machine learning algorithm to predict the diabetes. the PIMA Indian diabetes dataset (PIDD) is been used to predict diabetes disease. this paper discussed approaches for diabetes prediction and by using different approaches like KNN, RF, SVM and comparing all three results. the main purpose behind is result accuracy or correctness. As diabetes is a common disease affecting individuals globally.it is not a short-term disease so it can increase complications for long time in future. an comprised our model with previous study it shows proposed model can provide better accuracy depend on dataset used and ML algorithm which we used for predicting the project work can gives the accurate model shows that the model is proficient of predicting diabetes effectively. According to our result or study of previous research our deduction shows that random forest achieve higher accuracy compare to other machine learning technique and attributes used for this graphical user interface based diabetes prediction application are glucose, blood pressure, skin thickness, insulin, hemoglobin etc.
License
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Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Ms. Sakshi Rajaram Wagh | Sir Visvesvarya Intitute Of Technology,Nashik |
| 2 | Ms. Swati Kishor Rane | Sir Visvesvarya Intitute Of Technology,Nashik |
| 3 | Ms. Snehal Vinayak Pardeshi | Sir Visvesvarya Intitute Of Technology,Nashik |
| 4 | Ms. Pooja Bajirao Sonawane | Sir Visvesvarya Intitute Of Technology,Nashik |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Wagh, Ms. Sakshi Rajaram, Rane, Ms. Swati Kishor, Pardeshi, Ms. Snehal Vinayak, & Sonawane, Ms. Pooja Bajirao (2022). DIABETES PREDICTION USING MACHINE LEARNING ALGORITHM. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 1889-1898.
MLA Style
Wagh, Ms. Sakshi Rajaram, et al. "DIABETES PREDICTION USING MACHINE LEARNING ALGORITHM." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 1889-1898.
IEEE Style
Ms. Sakshi Rajaram Wagh, Ms. Swati Kishor Rane, Ms. Snehal Vinayak Pardeshi, and Ms. Pooja Bajirao Sonawane, "DIABETES PREDICTION USING MACHINE LEARNING ALGORITHM," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 1889-1898, 2022.
Vancouver Style
Wagh Ms. Sakshi Rajaram, Rane Ms. Swati Kishor, Pardeshi Ms. Snehal Vinayak, Sonawane Ms. Pooja Bajirao. DIABETES PREDICTION USING MACHINE LEARNING ALGORITHM. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):1889-1898.
Harvard Style
Wagh, Ms. Sakshi Rajaram, Rane, Ms. Swati Kishor, Pardeshi, Ms. Snehal Vinayak, & Sonawane, Ms. Pooja Bajirao (2022) 'DIABETES PREDICTION USING MACHINE LEARNING ALGORITHM', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 1889-1898.
Chicago Style
Wagh, Ms. Sakshi Rajaram, et al. "DIABETES PREDICTION USING MACHINE LEARNING ALGORITHM." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 1889-1898.
Turabian Style
Wagh, Ms. Sakshi Rajaram, et al. "DIABETES PREDICTION USING MACHINE LEARNING ALGORITHM." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 1889-1898.
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