International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

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DOI Prefix: 10.47001/IRJIET

A Review Prediction of Type-2 Diabetes Mellitus for Nephropathy and Neuropathy Using Machine Learning Techniques

Tejashree T KResearch Scholar, Siddhartha Academy of Higher Education, Tumkur, IndiaDr. Asha K RAssociate Professor, Department of Computer Science, Sri Siddhartha Institute of Technology, Tumkur, India

Vol 8 No 10 (2024): Volume 8, Issue 10, October 2024 | Pages: 7-12

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 08-10-2024

doi Logo doi.org/10.47001/IRJIET/2024.810002

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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.

Keywords

Random Forest, Gradient Boosting, Neuropathy, Machine Learning, Nephropathy, Type-2 Diabetes


Citation of this Article

Tejashree T K, & Dr. Asha K R. (2024). A Review Prediction of Type-2 Diabetes Mellitus for Nephropathy and Neuropathy Using Machine Learning Techniques. International Research Journal of Innovations in Engineering and Technology - IRJIET, 8(10), 7-12. Article DOI https://doi.org/10.47001/IRJIET/2024.810002

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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