DIABETES PREDICTION USING MACHINE LEARNING ALGORITHM

May 2022
Vol-8, Issue-3
Paper ID: 16830
ISSN: 2395-4396
Downloads: 0

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.

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.

Export Citation

Related Research

DIGITAL DIVIDE AND EQUITY IN ACCESS TO INTERNET: ITS IMPACT TO LEARNERS’ ACADEMIC ACHIEVEMENT
Ladylee Paje Custodio et al. 2026 Educational technology
PDF Unavailable
A PHENOMENOLOGICAL STUDY ON THE CHALLENGES, AND COPING STRATEGIES OF SCHOOL HEADS IN USING TECHNOLOGY
MARK IAN K. DOMOSMOG 2026 Educational Leadership and Management with a focus on Educational Technology Integration
PDF Unavailable
A Comprehensive Review of Blockchain in Automotive Data Tracking
Mr Nagesh U B et al. 2026 Information Science
PDF Unavailable
A Review Paper on Deep Learning-Based Image Steganography Techniques
Dr. Rachana P et al. 2026 Information Science and Engineering
PDF Unavailable
Decentralized Voting System Using Ethereum Blockchain
Dr. D. SIVAKUMAR et al. 2026 Information Science and Engineering
PDF Unavailable
Comprehensive Framework for Real-Time Hand Gesture Recognition on Mobile Platforms using Machine Learning,TensorFlow Lite, Keras, MediaPipe, OpenCV and NumPy
Roshani Rajesh khobragade et al. 2026 Information Technology / Computer Engineering / Machine Learning
PDF Unavailable