REMOTE PATIENT MONITORING AND CLASSIFICATION OF DIABETES SUBTYPES CLASSIFICATION USING DEEP-LEARNING RECONSTRUCTION ALGORITHM

ICTACT Journal on Soft Computing ( Volume: 14 , Issue: 3 )

Abstract

Remote patient monitoring has become pivotal in managing chronic diseases like diabetes. This study proposes a novel approach for the classification of diabetes subtypes utilizing a deep-learning reconstruction algorithm. The system leverages continuous patient data obtained through remote monitoring devices, enabling real-time analysis for timely intervention. The deep-learning reconstruction algorithm, based on a convolutional neural network architecture, demonstrated exceptional accuracy in distinguishing between diabetes subtypes. The model achieved an overall classification accuracy of 92%, outperforming traditional methods. It exhibited high sensitivity and specificity, with values exceeding 90% for each subtype. The results showcase the system’s effectiveness in classifying diabetes subtypes: Type 1 diabetes (Sensitivity: 94%, Specificity: 92%), Type 2 diabetes (Sensitivity: 91%, Specificity: 94%), and Gestational diabetes (Sensitivity: 93%, Specificity: 91%). The system’s ability to accurately identify these subtypes ensures personalized and targeted care for patients.

Authors

Callins Christiyana Chelladurai1, Punitha Murugesan2, Sivajothi Esakkimani3, Selvi Shanmuga Pandian4
SRM Madurai College for Engineering and Technology, India1, Sethu Institute of Technology, India2,4, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, India3

Keywords

Deep-Learning Reconstruction Algorithm, Diabetes Subtypes, Remote Patient Monitoring, Convolutional Neural Network, Healthcare Classification

Published By
ICTACT
Published In
ICTACT Journal on Soft Computing
( Volume: 14 , Issue: 3 )
Date of Publication
January 2024
Pages
3249 - 3254

ICT Academy is an initiative of the Government of India in collaboration with the state Governments and Industries. ICT Academy is a not-for-profit society, the first of its kind pioneer venture under the Public-Private-Partnership (PPP) model

Contact Us

ICT Academy
Module No E6 -03, 6th floor Block - E
IIT Madras Research Park
Kanagam Road, Taramani,
Chennai 600 113,
Tamil Nadu, India

For Journal Subscription: journalsales@ictacademy.in

For further Queries and Assistance, write to us at: ictacademy.journal@ictacademy.in