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A Review Prediction of Type-2 Diabetes Mellitus for Nephropathy and Neuropathy Using Machine Learning Techniques.
- Source :
- International Research Journal of Innovations in Engineering & Technology; Oct2024, Vol. 8 Issue 10, p7-12, 6p
- Publication Year :
- 2024
-
Abstract
- Diabetes mellitus (DM) is a chronic malady that is measured to be life-threatening. Diabetes Mellitus type 2 is accounts for the majority of increased risk of Neuropathy and Nephropathy. Utilizing machine learning (ML) predictive model algorithms can aid in the management of diabetes mellitus type 2 (T2DM) by lowering the risk of neuropathy and nephropathy problems in early stages. The increased screening can be avoided the loss of life our study creates predictive model to forecast the diabetes through Gradient Boosting, SVM and Random forest algorithms. The development and work by comparing the performance accomplished using various parameters and algorithms, it originates that by using a selected number of features, we can still build sufficient results. [ABSTRACT FROM AUTHOR]
- Subjects :
- TYPE 2 diabetes
KIDNEY diseases
MACHINE learning
RANDOM forest algorithms
ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 25813048
- Volume :
- 8
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- International Research Journal of Innovations in Engineering & Technology
- Publication Type :
- Academic Journal
- Accession number :
- 180546828
- Full Text :
- https://doi.org/10.47001/IRJIET/2024.810002