Digital Health

Dr. Prashant Upadhyay is an Assistant Professor at, Bennett University, Greater Noida, U.P., India. He is currently pursuing his PDF at NKUST, Taiwan. He received his PhD in CSE, from Gautam Buddha University, Greater Noida, U.P., India. He has more than 8 years of teaching and research experience. He published more than 48 research papers in internationally reputed journals and conferences indexed in Web of Science and SCOPUS. He has Edited 6 books for IGI Global and 1 books for Bentham Science. He served as session chair in- GTSS-2026, ICDT-2024, ICDETGT-2023, and ICDT-2023. He has authored a book for Wiley Publication- Introduction to Python, ISBN: 978-93-5746-219-8. He has published nine Indian patents and received three design grants. He is a Senior Member of IEEE, a Member of ACM and a Member of IFERP community. Dr. Hoor Fatima is an Assistant Professor in the Department of Computer Science and Engineering at Vivekananda Institute of Professional Studies – Technical Campus (VIPS-TC), New Delhi, India. She earned her Ph.D. from the Indian Institute of Technology (IIT) Delhi. Her research interests include Artificial Intelligence, Machine Learning, Deep Learning, Explainable AI, Natural Language Processing, Healthcare Informatics, Medical Image Analysis, Data Science, and Intelligent Decision Support Systems. Dr. Fatima has authored numerous research papers in reputed international journals and conferences, contributed book chapters, and holds several published and granted patents in emerging technologies. She has successfully completed funded research projects and actively serves as an editor, reviewer, and technical committee member for national and international publications. Her academic contributions include mentoring research scholars, curriculum development, and fostering industry–academia collaboration. Through her research and editorial work, Dr. Fatima is committed to advancing interdisciplinary innovation and developing intelligent, data-driven solutions to address real-world challenges in healthcare, engineering, and sustainable technologies. Dr. Saniya Zehra is an accomplished healthcare management professional with nearly a decade of experience in healthcare administration, quality management, and hospital operations. She holds an MBA in Health and Hospital Administration from Jamia Hamdard University and a Bachelor of Unani Medicine and Surgery (BUMS) from the University of Delhi.She is currently serving as Area Chair (Healthcare and Hospital Administration) and Assistant Professor at Sharda University, Sharda School of Business Studies. Previously, she worked as an Associate Professor at the Institute of Good Manufacturing Practices India (IGMPI), New Delhi. Her industry experience includes leadership roles at Fortis Healthcare, Metro Group of Hospitals, Shri Ram Singh Hospital & Heart Institute, and Ashok Multispeciality Hospital, where she led quality management, NABH accreditation, and hospital consultancy initiatives.Preeti Dubey is an Assistant Professor in the Department of Computer Science and Engineering at Sharda University. Her research interests span Data Science, Machine Learning, and Cybersecurity, with a focus on applying intelligent computing techniques to real-world security challenges, particularly cyber threat detection and analysis.She has published in national and international journals and conferences on phishing attack detection, ransomware detection and recovery, Edge-AI in IoT, malware analysis, scientific article summarization using LLMs, and explainable deep learning for cybersecurity. She has successfully completed funded research projects and have a quite patents published and granted .Her work has received 77 citations, with an h-index of 5 and an i10-index of 4.Currently pursuing her Ph.D. in cybersecurity, her research centers on ML-based intrusion detection for IoT networks. Alongside research, she teaches UG/PG students, mentors projects, and actively promotes student participation in research and innovation. Dr. Satya Prakash Yadav (FIETE & SMIEEE) is currently the Associate Professor of the Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, U.P. , India. He is also as Associate Dean R &D and Professional Practices. Dr. Yadav has done his Postdoctoral Research Fellow from Federal Institute of Education, Science and Technology of Ceará, Brazil. He has awarded his PhD degree from Dr. A.P.J. Abdul Kalam Technical University (AKTU) (formerly UPTU). Currently, 4 students are working for Ph.D. under his guidance. A seasoned academician having more than 18 years of experience, he has published four books (Programming in C, Programming in C++ and Blockchain and Cryptocurrency) under I.K. International Publishing House Pvt. Ltd. Including Distributed Artificial Intelligence: A Modern Approach, Published December 18, 2020 by CRC Press. He has undergone industrial training programs during which he was involved in live projects with companies in the areas of SAP, Railway Traffic Management Systems, and Visual Vehicles Counter and Classification (used in the Metro rail network design). He is an alumnus of Netaji Subhas Institute of Technology (NSIT), Delhi University. A prolific writer, Dr. Satya Prakash Yadav has published six patents and authored many research papers in web of science indexed journals. Additionally, His area of specialisation is in the areas of Image Processing, Information retrieval and Features extraction. Also, he is a Editor in Chief in Journal of Cyber Security in Computer System & Journal of Soft Computing and Computational Intelligence (MAT journals), Series Editor in DeGruyter International Publisher, Bentham Science and CRC Press, Taylor and Francis Group Publisher (U.S.A).

• Chapter 1: Leveraging Health Information Systems for Population Health Management. Chapter 2: Medical and Healthcare Services using AI and Blockchain Distributed Systems. Chapter 3: Effective Governance in Health Information Systems: Strategies, Challenges, and Best Practices. Chapter 4: The Future of Healthcare: AI's Transformative Role. Chapter 5: AI-Driven Revolution in Breast Cancer Detection: Harnessing Machine Learning for Precision Healthcare. Chapter 6: Exploring the Evolution of Health Information Systems. Chapter 7: Deep Learning for Glaucoma Detection: Comprehensive Advances and Applications. Chapter 8: Internet of Things and Image Processing Integration in Healthcare: Opportunities, Challenges, and Future Trends. Chapter 9: Assessment of the Reliability and Safety of Medical Devices in Health Care Systems. Chapter 10: Prediction Analysis of Diabetes Disease Using Perceptron and Multilayer Perceptron Classification Model of Deep Learning. Chapter 11: Challenges with Current Health Information Systems. Chapter 12: Transforming Pulmonary Diagnostics with Deep Learning: A Comprehensive Study. Chapter 13: Medical Robots in Healthcare Management. Chapter 14: Digital Health: Leveraging Smart Healthcare Solutions to Manage Health Information Systems. Chapter 15: A.I. & BIG DATA IN HEALTHCARE DIAGNOSIS PREDICTION: REVIEW. Chapter 16: Revolutionizing Healthcare with Artificial Intelligence and Machine Learning. Chapter 17: Health Care Smart Solutions. Chapter 18: Role of AI in Breast Cancer Classification. Chapter 19: Road Map for Brain Tumor Classification from MRI. Chapter 20: A Comparative Performance Study Analysis of Asthma Disease Prediction Using Various Classification Algorithms of Machine Learning and Ensemble Techniques.