Advances in Computational Intelligence for Health Informatics and Computer-Aided Diagnosis

Methods, Applications, and Tools

A. Malini, Surbhi Bhatia Khan, S. Kayalvizhi, Mohammed Saraee

• Publisher: CRC Press
• Year: 2025
• eBook ISBN: 9781040326589
• Edition: 0
• Topic: Computer Science
• Index: Computer Science

This book provides a comprehensive overview of the intersection of computational intelligence, health informatics, and computer-aided diagnosis (CAD). The book explores and highlights the latest advancements, methodologies, applications, and tools in these fields.

Advances in Computational Intelligence for Health Informatics and Computer-Aided Diagnosis: Methods, Applications, and Tools covers a broad spectrum of computational intelligence approaches, from basic concepts to advanced methodologies. The focus on health informatics reflects the book's commitment to researching data integration, privacy issues, and interoperability issues that are crucial in today's healthcare landscape. The book's core is its in-depth examination of CAD systems, which encompasses numerous healthcare sectors and underlines the technological complexity involved in building accurate and efficient diagnostic tools. Some of the other key areas covered include: medical imaging analysis, disease identification and diagnosis, and drug research and development. It also provides case studies that demonstrate how computational intelligence methods are applied in real-world healthcare scenarios, giving readers a practical understanding of the subject matter. The authors then discuss future trends and directions in computational intelligence for health informatics.

The book is designed to serve as a guide to for academics, professionals, and students who are curious about the challenges of integrating contemporary computational approaches into medical diagnostics and decision support.

Table of contents

• Cover
• Half-Title Page
• Title Page
• Copyright Page
• Table of Contents
• Preface
• List of Contributors
• 1 Overview of Computational Intelligence for Health Informatics and Computer-Aided Diagnosis
• 2 From Pixels to Prognosis: Machine Learning Approaches for Medical Imaging Diagnosis
• 3 Development of an Advanced Lung Cancer Diagnosis System: Using Image Processing and Machine Learning
• 4 Machine Learning Algorithms for Medical Diagnosis and Prognosis
• 5 Exploring Deep Learning Models in Medical Image Analysis for Human Disease Detection and Classification
• 6 Machine Learning Approach for Different Habitual Activity Versus Sleep Intermittent Stages from Time-Efficient Perspectives based on Facial Features
• 7 A Survey of Interoperability and Security Challenges in the IoT Healthcare Environment
• 8 Automated Cardiovascular Disease Prediction Using Ant Colony Optimization with a Deep Learning Improved Neural Network
• 9 Utilizing Explainable Artificial Intelligence for Parkinson’s Disease Diagnosis through the Analysis of Spiral and Wave Drawings with Integrated Data Augmentation
• 10 Review of Medical Sensors for Healthcare Monitoring Systems Using Machine Learning Algorithms
• 11 Breast Cancer Classification Using Machine Learning: A Study
• 12 Secure Compressive Sensing in Medical Imaging Using Fractional-Order Hyperchaotic Systems
• 13 Early-Stage Lung Cancer Classification Using Spatial FusionNet
• 14 Practical Applications: Specific Diseases or Conditions Where AI Has Made a Significant Impact: A review
• 15 Medical Impact Assessment of Industrial Emissions: Predicting the Air Quality Index
• Index