This book covers technological advances in healthcare such as CAD in drug discovery, precision medicine, the evolution of medical devices, and data management, AI and ML in biomedical and healthcare applications, telemedicine, cloud computing systems, IoMT and cybersecurity of EMR are also discussed.
Health Informatics: Technologies and applications covers technological advances in healthcare that contribute to precision medicine and early detection of diseases. The editors explore the evolution of medical devices with attention to data management, patient safety and cost effectiveness.
Discussing health data and big data analytics for healthcare information, the editors also look at the application of AI in the healthcare arena, examining the concepts of machine learning for image sensing and the importance of feature selection, class imbalance, model robustness, and scalability.
With the advancement of telemedicine, the book will also examine cloud computing systems and the IoMT, with particular reference to cybersecurity concerns and the reliable management of electronic medical records.
The editors look at deploying these technologies for improved detection and therapeutic considerations for neurological and physiological conditions.
The book will be suitable for an audience of computer scientists and engineers particularly researchers working in healthcare technologies, AI/ML, computer science, data analysis or IoMT.
Chapter 1: Health data analytics and big data applications
Chapter 2: Advances in brain tumor detection: role of feature extraction and
machine learning
Chapter 3: Understanding of Parkinson's disease: pathology, diagnosis,
therapies, and importance of biomarkers
Chapter 4: Amyotrophic lateral sclerosis (ALS) disease: genes, molecular
pathology and diagnostic treatment
Chapter 5: Advances in health informatics for obstructive sleep apnea
diagnosis and management
Chapter 6: Optimized audio signal reconstruction for AI-driven diagnosis of
chronic respiratory conditions
Chapter 7: Emotion recognition using speech
Chapter 8: Enhanced security and privacy in IoMT: a hierarchical federated
learning approach using Dew-Cloud with HLSTM for hostile attack mitigation
Chapter 9: Revolutionizing pathological assessments with privacy-centric
machine learning models
Chapter 10: Exploring the synergy of SSL and IoMT in breast cancer detection:
a theoretical framework
Chapter 11: Proteomics techniques for characterizing microbial proteins
Chapter 12: Enhancing obstructive sleep apnea diagnosis with machine
learning: innovations and outcomes
Chapter 13: Ensemble and hybrid machine learning techniques: theoretical
foundations, differences, applications and healthcare integration
Gaurav Gupta is a professor at Yogananda School of Artificial Intelligence Computers and Data Science, Faculty of Engineering and Technology, Shoolini University, India. He has 15 years of teaching experience, and his academic contributions includes over 100 conference papers, journal articles, book chapters, and books. His area of interest includes machine learning, IoT, and cloud computing for healthcare. He is an active senior member of the Institute of Electrical and Electronics Engineers (IEEE) and the International Association of Engineers (IAENG).
Manju Khari is a professor in the School of Computer and Systems Sciences at Jawaharlal Nehru University in New Delhi, India. Her research interests include information security, software security testing, computer networks, the Internet of Things, cyber forensics, and deep learning. Before joining JNU, she worked with Netaji Subhas University of Technology, Delhi. Her prolific research portfolio includes over 190+ published papers in premier refereed national and international journals and conferences, including highly regarded publishers such as IEEE, ACM, Springer, Inderscience, and Elsevier. Dr Khari has also co-authored 2 books published by NCERT and co-edited 20 edited books, further solidifying her status as a leading scholar in her field.
Shakir Khan is an professor at the College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Saudi Arabia. He has over 15 years of national and international teaching, research and IT experience. He has published more than 130 conference papers, journal articles, book chapters, and books as well as 3 patents. He has contributed to many international conferences in the capacity of committee member and keynote speaker. His research interests include ML/AI, cloud computing, IoT, big data analytics, and bioinformatics. He has been acknowledged by Imam University and received a research excellence award in 2019.
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