A Survey on Diabetes Prediction Using Machine Learning

Rintu Raju , Dr.Rahul Shajan

Index Terms: Diabetes Prediction, Machine Learning (ML), Comparative Analysis

Abstract: Machine learning techniques, which teach computers to learn via experience, are used to analyze large databases. In the field of medical forecasting, ML approaches are currently used to estimate the probability that a patient will contract a disease in the future. One of the medical predictions that makes use of machine learning is in the situation of diabetes. This study's objective is to provide a comparative analysis of 10 papers through an examination of algorithm performance using various metrics.

Published Paper   E-Certificate

"A Survey on Diabetes Prediction Using Machine Learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1471 - 1474, March-2023, Available :https://ijsdr.org/papers/IJSDR2303256.pdf

Volume 8 Issue 3, March-2023

Pages : 1471 - 1474

Paper Reg. ID: IJSDR_204984

Published Paper Id: IJSDR2303256

Downloads: 000347431

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2303256

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2303256

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition