Paper Title

An Overview of Development of a Novel Artificial Intelligence and Machine Learning Based Model for Diabetes Healthcare Sector

Article Identifiers

Registration ID: IJNRD_218889

Published ID: IJNRD2404505

DOI: Click Here to Get

Authors

Shashi Bhushan Singh , Dr. Arjun Singh

Keywords

Machine Learning, Diabetic Retinopathy, Artificial Intelligence, Data Sources

Abstract

The world has now moved into the era of Data Science, and tools that have traditionally been applied to other domains are now being considered in healthcare. Diabetes is a metabolic disorder characterized by an excessive level of glucose in the blood due to either insulin resistance or insulin deficiency. This research focuses on data science concepts from AI, ML, DM, and DL. It provides several approaches to utilize these techniques for analyzing clinical data, forecasting, monitoring, and understanding the management of Diabetes Mellitus. Although using AI in healthcare is a new research field, recent studies have explored the application of AI in healthcare for treatment effectiveness, healthcare management, fraud and abuse detection, patient behavior analysis, customer relationship management, and more. This research aims to propose an AI model for healthcare, identifying the qualitative characteristics of patients, preparing the dataset for mining, and detecting diabetes using AI to improve the treatment effectiveness, which will save time and enhance it for faster treatment and diagnosis. The primary objective of this thesis is to design and develop a novel automated and improved machine learning classification model for the classification of diabetes mellitus and designing a deep learning model for the classification of Diabetic Retinopathy, representing the performance ratio as the accuracy ratio.

How To Cite (APA)

Shashi Bhushan Singh & Dr. Arjun Singh (April-2024). An Overview of Development of a Novel Artificial Intelligence and Machine Learning Based Model for Diabetes Healthcare Sector. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), f29-f37. https://ijnrd.org/papers/IJNRD2404505.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : f29-f37

Other Publication Details

Paper Reg. ID: IJNRD_218889

Published Paper Id: IJNRD2404505

Downloads: 000121988

Research Area: Engineering

Country: Gaya, Bihar, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404505.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404505

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

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