Smart Systems for Disease Prediction Advancements, Applications and Challenges

Preface

Smart Systems in Health Care

Introduction to Intelligent Systems in Healthcare

Applications of Intelligent Systems in Healthcare

Focus on Predictive Systems in Healthcare

Intelligent Systems for Disease Prediction

Case Studies and Examples

Challenges and Future Directions

Conclusion

Intelligent Techniques for Disease Prediction

Introduction to Intelligent Techniques in Disease Prediction

Overview of Disease Prediction Methods

Predictive Modeling in Disease Prediction

Deep Learning in Disease Prediction

Genetic Algorithms for Disease Prediction

Ensemble Methods in Disease Prediction

Comparative Analysis and Best Practices

Conclusion  

Role of Image Processing in Disease Prediction and Early Diagnosis

Introduction

Imaging Modalities in Disease Detection

Suitability of Imaging Modalities for Disease Applications

Interdisciplinary Collaboration and Data Integration

Image Processing Techniques for Disease Diagnosis

Classification Methods for Disease Domains

Advancements and Challenges in Image-Based Disease Prediction

Conclusion

Role of Signal Processing in Disease Prediction and Early Diagnosis

Introduction

Fundamentals of Physiological Signals

Techniques for Signal Analysis in Disease Prediction

Intelligent Systems Integration

Application of Signal Processing in Disease Prediction

Future Directions and Challenges

Conclusion

Impact of Behavioral Analysis in Prediction

Introduction to Behavioral Analysis in Disease Prediction

Impact of Lifestyle Choices on Disease Prediction

Activity Patterns and Health Outcomes

Social Interactions and Disease Prognosis

Techniques Utilizing Behavioral Analysis for Disease Prediction

Challenges and Future Prospects

Conclusion

Multimodal Approach of Data Processing in Healthcare

Introduction

Heterogeneous Data Integration for Disease Prediction

Application of Multimodal Systems in Decision Prediction

Machine Learning and Deep Learning Models for Multimodal Data

Intelligent Algorithms for Multimodal Disease Detection

Precision Medicine and Multimodal Data Processing

Potential and Future Trends in Multimodal Disease Prediction

Conclusion

Empirical Analysis of AI-enabled Techniques in Modern Healthcare

Introduction

Analysis of Data Quality in Healthcare

Analysis of AI-enabled Healthcare Systems

Clinical Applications and AI-Enabled Techniques

Challenges and Limitations

Ethical Considerations

Conclusion

Tools and Techniques for Disease Prediction

Introduction

Methodologies in Disease Prediction

Feature Selection for Disease Prediction Models

Data Preprocessing in Disease Prediction

Model Evaluation Techniques for Disease Prediction

Comparative Analysis of Tools and Techniques

Conclusion

Applications of Smart Systems for Disease Prediction

Introduction

Smart Systems in Disease Prediction

Intelligent Systems for Early Disease Prediction

Applications of Smart Systems by Disease Domain

Working Principles of Key Disease Prediction Systems

Conclusion

Challenges and Future Directions with AI in Healthcare

Introduction

Adoption Challenges in AI for Healthcare

Ethical Considerations

Data Integration and Quality Management

Regulatory and Governance Challenges

Future Directions for AI in Healthcare

Conclusion

Index

About the Authors

Biography

S. Vijayalakshmi

Dr. S. Vijayalakshmi is an Associate Professor in the School of Sciences, at Christ University, Pune Lavasa Campus, where she serves in multiple academic portfolios. Her research expertise encompasses Image Processing and Internet of Things (IoT), areas in which she has made significant contributions through publications in numerous international and national conferences as well as reputed journals. Dr. S. Vijayalakshmi has authored several book chapters and currently has multiple books in development. As an active member of academic bodies such as IFERP, IAENG and IEEE she remains engaged with the broader research community while dedicating considerable effort to guiding students in both research and academic pursuits. Her commitment to advancing knowledge in data science and emerging technologies, combined with her passion for student mentorship, makes her a valuable contributor to both academia and the field of technological innovation.

Alwin Joseph

Mr. Alwin Joseph is an Assistant Professor at CHRIST University, Pune, Lavasa Campus. He holds a postgraduate degree in Computer Applications from CHRIST, Bangalore, and is currently pursuing his Ph.D. in Computer Science. His research interests encompass Image Processing, Machine Learning, and Natural Language Processing. Mr. Alwin complements his academic pursuits with practical experience from live projects and a full-stack application developer internship. He is proficient in various programming and scripting languages, including C, C++, JAVA, Python, and JavaScript, and is passionate about leveraging these skills in his teaching and research.

Naived George Eapen

Naived George Eapen is a Post Graduate in Computer Science and a Google Certified Educator with hands-on experience in AI and ML, working as an Assistant Professor at CHRIST University, Pune, Lavasa Campus. He has a proven track record through internships as both a Full Stack Web Developer and an AI Engineer, contributing to live projects in the field. His primary interests lie in IoT, Computer Vision, Machine Learning, and API Development. Mr. Naived is proficient in a wide range of programming and scripting languages, including C, JAVA, Python, and JavaScript, and is passionate about applying these skills to developing innovative solutions.

Balamurugan Balusamy

Dr. Balamurugan Balusamy is the Associate Dean at Shiv Nadar Institution of Eminence, Delhi-NCR, and an Adjunct Professor at Taylor’s University, Malaysia. With a Ph.D. from a premier Indian institution and 12 years of experience at VIT University, his expertise lies in Blockchain and Data Sciences. Formerly a Professor and Director at Galgotias University, he is a prolific researcher with over 200 high-impact papers and has authored or edited more than 80 books. A passionate educator and consultant for Industrial IoT, he has delivered over 195 talks globally.

Jagjit Singh Dhatterwal

Dr. Jagjit Singh Dhatterwal is presently working as an Associate Professor with the Department of School of Computer Science & Artificial Intelligence, SR University, Warangal, Telangana, India. He has supervised many UG and PG projects of engineering students. He is also a Member of Computer Science Teacher Association (CSTA), New York, USA, International Association of Engineers (IAENG), Hong Kong, IACSIT (International Association of Computer Science and Information Technology), USA, Professional Member of the Association of Computing Machinery, USA, IEEE, and a Life Member of the Computer Society of India. He has published more than 15 books and 120+ book chapters at National/International level. He also has more than 20 publications in International/National Journal and conferences. His areas of interest include Artificial Intelligence, BCI, Cyborg and Multi-Agents Technology. He has number of publications as Books/Book chapters/Journal papers and conference papers.

Kuldeep Singh Kaswan

Professor (Dr.) Kuldeep Singh Kaswan is presently working in the School of Computer Science & Engineering, Galgotias University, Uttar Pradesh, India. His contributions focus on BCI, Cyborgs, and Data Science. His academic degrees and thirteen years of experience working with global Universities like Amity University, Noida, India; Gautam Buddha University, Greater Noida; and PDM University, Bahadurgarh, India, have made him more receptive and prominent in his domain. He received a doctorate in Computer Science from Banasthali Vidyapith, Rajasthan. He received a Doctor of Engineering (D. Engg.) from Dana Brain Health Institute, Iran. He has supervised many UG and PG projects by engineering students. He has supervised four Ph.D. graduates. He is also a senior member of IEEE, the Computer Science Teacher Association (CSTA), New York, USA, the International Association of Engineers (IAENG), Hong Kong, and IACSIT, USA. He has published more than 20 books and 150+ book chapters at National/International level. He also has more than 40 publications in International/National Journal and conferences. He is an editor/author and review editor of Journals and Books with IEEE, Wiley, Springer, IGI, River, etc.