IOT Based Healthcare Monitoring System for Diabetes Prediction using Extreme Gradient Boosting Techniques

Volume 20 No 7 (2022)

T.Ramyaveni M.C.A, M.Phil, Dr.V.Maniraj

DOI: 10.14704/nq.2022.20.7.NQ33469

Abstract

Human health issues must be closely examined and addressed with proper medications. Chronic illnesses such as diabetes, heart disease (HD), cancer, and chronic respiratory disease are the main causes of death worldwide. The previous 10 years have seen a lot of research into healthcare services and their technology advancements

Keywords

Heart disease, Intrnet of Things, eXtreme Gradient Boosting (XGB)

Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.