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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Paper Title
DIABETES CLASSIFICATION AND PREDICTION USING MACHINE LEARNING APPROACH
Authors
Aakash Shewani, Dr. Navneet Kaur
Keywords
ANN, Machine Learning, Diabetes Classification, Disease
Abstract
Diabetes mellitus, commonly known as diabetes, is a group of metabolic disorders characterized by a high blood sugar level (hyperglycemia) over a prolonged period of time. To predict the disease, it is extremely important to understand its symptoms. To predict the disease, it is extremely important to understand its symptoms. This paper presents diabetes classification and prediction using machine learning approach. Proposed system is increased the accuracy of the results by prediction of diabetes by using artificial neural network (ANN) deep learning algorithms. It enhances the performance of the overall classification results. Currently, machine-learning (ML) algorithms are valuable for disease detection.
IJCRT's Publication Details
Unique Identification Number - IJCRT2302127
Paper ID - 230719
Page Number(s) - b69-b74
Pubished in - Volume 11 | Issue 2 | February 2023
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Aakash Shewani, Dr. Navneet Kaur, "DIABETES CLASSIFICATION AND PREDICTION USING MACHINE LEARNING APPROACH", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 2, pp.b69-b74, February 2023, Available at :http://www.ijcrt.org/papers/IJCRT2302127.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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