Paper Title
An Overview of Development of a Novel Artificial Intelligence and Machine Learning Based Model for Diabetes Healthcare Sector
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Registration ID: IJNRD_218889
Published ID: IJNRD2404505
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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.
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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
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Paper Reg. ID: IJNRD_218889
Published Paper Id: IJNRD2404505
Research Area: Engineering
Author Type: Indian Author
Country: Gaya, Bihar, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404505.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404505
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