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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 7 | Month- July 2024
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Paper Title
A COMPARISON OF DIABETIC PREDICTION USING ML APPROACHES
Authors
Shanthi, Nancy Jasmine Goldena
Keywords
Binary Classification, Comparison, Diabetes, Machine Learning, Supervised Learning
Abstract
In India, diabetes affects approximately 30 million people around the world, and many more are at risk. In order to prevent diabetes and the health issues it is associated with, timely diagnosis and treatment is essential. This study tries to evaluate a person's risk of developing diabetes depends on their lifestyles and family history. In 2021, there are 7 million people died, according to the International Diabetes Federation (IDF). Through a change in lifestyle, nutrition, or medicine, early identification of patients with a high chance of developing T2D can lower the incidence of the illness. The diabetes dataset from the UCI machine learning repository is used in this analysis. C50 and GLM algorithms are used to do binary classification, and performance measures are used to assess the efficiency.
IJCRT's Publication Details
Unique Identification Number - IJCRT2212399
Paper ID - 228971
Page Number(s) - d650-d654
Pubished in - Volume 10 | Issue 12 | December 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Shanthi, Nancy Jasmine Goldena, "A COMPARISON OF DIABETIC PREDICTION USING ML APPROACHES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 12, pp.d650-d654, December 2022, Available at :http://www.ijcrt.org/papers/IJCRT2212399.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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