Health Informatics

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.

• Chapter 1: Health data analytics and big data applicationsChapter 2: Advances in brain tumor detection: role of feature extraction and machine learningChapter 3: Understanding of Parkinson's disease: pathology, diagnosis, therapies, and importance of biomarkersChapter 4: Amyotrophic lateral sclerosis (ALS) disease: genes, molecular pathology and diagnostic treatmentChapter 5: Advances in health informatics for obstructive sleep apnea diagnosis and managementChapter 6: Optimized audio signal reconstruction for AI-driven diagnosis of chronic respiratory conditionsChapter 7: Emotion recognition using speechChapter 8: Enhanced security and privacy in IoMT: a hierarchical federated learning approach using Dew-Cloud with HLSTM for hostile attack mitigationChapter 9: Revolutionizing pathological assessments with privacy-centric machine learning modelsChapter 10: Exploring the synergy of SSL and IoMT in breast cancer detection: a theoretical frameworkChapter 11: Proteomics techniques for characterizing microbial proteinsChapter 12: Enhancing obstructive sleep apnea diagnosis with machine learning: innovations and outcomesChapter 13: Ensemble and hybrid machine learning techniques: theoretical foundations, differences, applications and healthcare integration