International Journal of Science, Engineering and Technology
| Feburary 21 2026 | ||
| Patron
Thiru. B. Suresh Babu,B.E(Civil), (Secretary) Advisor Dr. K. Anandapadmanabhan, (Dean) Convenors Mrs. M. Priya, |
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| Organizing SecretariesMrs. C. Poornima, Asst. Prof. in BCA Dr. V. Jayabharathi, Asst. Prof. in B.Sc(IT) |
Committee MembersMr. K. Mohanraj, Asst. Prof. in BCA Mrs. V. Priyanka, Asst. Prof. in B. Sc(IT) Ms. R. Kavitha, Asst. Prof. in BCA |
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Reviewed Articles Publish in IJSET Journal ISSN(O): 2348-4098 ISSN(P): 2395-4752 |
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Upcoming Proceeding after 21 Feb 2026
A Survey on Machine Learning Techniques for Diabetic Type Classification
Authors: Dr.P.Suresh Babu, Ms.M.Premavathi
Abstract: Medical data mining analyzes health data to improve patient care, especially in diabetes management—a chronic disorder affecting over 500 million people, risking eyes, kidneys, heart, and nerves due to poor glucose regulation. It processes datasets like Pima Indians Diabetes for early prediction, classifying Type 1 and Type 2 based on glucose levels and family history. Key steps include data collection from records, secure storage, pre-processing (imputation, outlier removal, normalization, encoding, oversampling for imbalance), and modeling with ML (Random Forest, SVM) or DL (DNN). Optimized pipelines achieve up to 97% accuracy, outperforming traditional methods in speed and precision via imputation, tuning, and ensembles. Recent innovations reduce complexity and enable scalable diagnosis on diverse datasets.
DOI: https://doi.org/10.5281/zenodo.18696414
