Deep Learning in Diabetes Mellitus Detection and Diagnosis

Deep Learning in Diabetes Mellitus Detection and Diagnosis focuses on deep learning-based approaches in the field of diabetes mellitus detection and diagnosis, including preprocessing techniques that are an essential part of this subject. This is the first book of its kind to cover deep learning-based approaches in the specific field of diabetes mellitus. This book includes a detailed introductory overview as well as chapters on current applications, preprocessing of data using deep learning, deep learning techniques, complexity, challenges, and future directions. It will be of great interest to researchers and professionals working on diabetes mellitus as well as general medical applications of machine learning.

Features:

• Highlights how the use of deep neural networks-based applications can address new questions and protocols, as well as improve upon existing challenges in diabetes mellitus detection and diagnosis
• Assists scholars and students who might like to learn about this area as well as others who may have begun without a formal presentation, with no complex mathematical equations
• Involves exceptional subject coverage and includes the principles needed to understand deep learning

Chapter 1: Introduction to Diabetes Mellitus Detection and Diagnosis Using Deep Learning
Jyotismita Chaki and Dibyajyoti Ghosh

Chapter 2: Preprocessing and Detection of Diabetes Mellitus from Physiological Data Using Deep Learning
Muskan Sah, Prajwal Kulkarni, Pranav Sehgal, and Akila Victor

Chapter 3: Graph-Based Explainable Method for Blood Glucose Prediction through Federated Learning
Chengzhe Piao and Kezhi Li

Chapter 4: Automated Early Detection of Diabetes Mellitus from Retinal Fundus Images Using Residual U-Network Approach
K. Sujatha, R.S. Ponmagal, N. Janaki, N.P.G. Bhavani, and SuQun Cao

Chapter 5: Toward Classifying the Severity of Diabetic Retinopathy Using Deep Learning
Ayush Negi, Shrish Srinivasan, and N. G. Bhuvaneswari Amma

Chapter 6: Deep Learning Saves Lives of Diabetes Mellitus Patients and Cuts Treatment Costs
D. Kavitha, Ravindra Changala, S. V. Suresh Babu Matla, S. Kanakaprabha, Lella Kranthi Kumar, and G. Ganesh Kumar

Chapter 7:  Diabetes Mellitus Detection Using Deep Learning Model
M. Karthikeyan and R. Rengaraj

Chapter 8: A Comprehensive Review of the Use of Deep Learning Algorithms in Diabetes Mellitus Detection and Diagnosis
Katarzyna Wiltos

Chapter 9: Examining the Role of Machine Learning and Deep Learning in Diabetes Mellitus Detection and Diagnosis: A Critical Review
C. Gunavathi, Akshat Bokdia, and Siri R. Kulakarni

Chapter 10: Deep Learning in Diabetes Mellitus Detection and Diagnosis
Atianashie A. Miracle and Chukwuma Chinaza Adaobi

Chapter 11: Title: Deep Learning Algorithms for Diabetes Mellitus Detection and Management
Mohadeseh Zarei Ghobadi, Mohammad Dehghani, and Elaheh Afsaneh

Chapter 12: An Analysis of Deep Learning Models for Diabetic Retinopathy Detection and Classification Based on Fundus Image
Govind Narayan Patel, Lipika Dinda, Jitesh Pradhan, and B. Ramachandra Reddy