INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
IoT Based System For Classification of Diabetes Using Convolutional Neural Network Algorithm
Authors Name:
Maha Lakshmi B
, Dr.G.SrinivasaRao , Bhavya Sree Ch , Lakshmi Durga P , Naga Niharika P, Chaitanya Lakshmi A
Unique Id:
IJSDR2304208
Published In:
Volume 8 Issue 4, April-2023
Abstract:
The Internet of Things is the most preferable technology in medical applications. Diabetes is a persistent disorder that impacts hundreds of thousands of humans in the world. Early detection and accurate diagnosis of diabetes are crucial for the effective management and prevention of complications. Deep Learning (DL) has emerged as a promising technique for the classification of diabetes effectively using medical data. Implemented an Internet of Things-based system to predict the diabetes of patients by taking retinal images of the patient. Then compared the patient retina image with the predefined dataset and classified diabetes using the Convolutional Neural Network algorithm. Results are displayed on Liquid Crystal Display, which sends an alert message to the doctor as well as patients about the result through IoT.
Keywords:
Diabetes, Convolutional Neural Network algorithm (Deep Learning), Retinal images, Liquid Crystal Display(LCD), Internet of Things(IoT).
Cite Article:
"IoT Based System For Classification of Diabetes Using Convolutional Neural Network Algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1285 - 1290, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304208.pdf
Downloads:
000337212
Publication Details:
Published Paper ID: IJSDR2304208
Registration ID:205414
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1285 - 1290
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
Facebook Twitter Instagram LinkedIn