ItemConference Paper

Data Analytics in Diabetes Treatment: Approaches and Applications

Title
Data Analytics in Diabetes Treatment: Approaches and Applications
Creator
Roy, Avijeet Emmanuel; Shoran, Preety; Vidushi
Description
These days, managing diabetes has become particularly more beneficial with advancements in data analytics, using machine learning, predictive analytics, and patient-generated health data to optimize the outcome for patients. This paper explores the latest techniques and innovations in this field, including predictive modelling, wearable technology integration, and artificial intelligence for better personalized care. The study covers various analytical frameworks, compares the performance of multiple machine learning models, and discusses future directions in the integration of data analytics with telemedicine for diabetes care. The following words refer to diabetes management, data analytics, predictive simulation, AI, and algorithms for learning, wearable technologies, patient-generated health data, predictive analytics, continuous glucose monitoring, health informatics, personalized care, health data privacy, predictive algorithms, electronic health records, diabetes complications, telemedicine, feature selection, and model evaluation along with having patient-centric systems and chronic disease management. 2026 American Institute of Physics Inc.. All rights reserved.
Source
AIP Conference Proceedings;Volume;3386;Issue;1;Article No.;20100;
Date
01-01-2026
Publisher
American Institute of Physics
Subject
Brain Tumor Detection; Comparative Analysis; DenseNet-121; MobileNetV2
Coverage
Roy A.E., CHRIST (Deemed To Be University, Delhi, India; Shoran P., CHRIST (Deemed To Be University, Delhi, India; Vidushi, CHRIST (Deemed To Be University, Delhi, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 0094243X;
Format
online
Language
English
Type
Conference paper

Citation

Roy, Avijeet Emmanuel; Shoran, Preety; Vidushi, “Data Analytics in Diabetes Treatment: Approaches and Applications,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 17, 2026, https://archives.christuniversity.in/items/show/25729.

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