AI and Data Engineering for Healthcare (inbunden)
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
412
Utgivningsdatum
2025-12-16
Förlag
Taylor & Francis Ltd
Medarbetare
Mallik, Saurav (University of Arizona, US) (red.)
ISBN
9781032988467

AI and Data Engineering for Healthcare

Real-World Applications and Case Studies

Inbunden,  Engelska, 2025-12-16
2192
  • Skickas från oss inom 10-15 vardagar.
  • Fri frakt över 249 kr för privatkunder i Sverige.
Finns även som
Visa alla 2 format & utgåvor
This book examines the transformative role of artificial intelligence (AI) and data engineering in revolutionizing the healthcare landscape. It presents cutting-edge developments ranging from predictive algorithms for disease diagnosis to large-scale data systems that enhance patient outcomes. By emphasizing the synergy between AI and data engineering, the book showcases practical applications in medical imaging, clinical diagnostics, and personalized treatment strategies. It also thoughtfully examines ethical considerations, data privacy, and healthcare equity, particularly in underserved and rural populations. Key Features: Explores state-of-the-art technologies in healthcare, including image segmentation, feature extraction, feature selection, and classification Provides real-world case studies, practical examples, and hands-on exercises for effective implementation of AI-driven solutions Bridges disciplines across computer science, data engineering, and biomedical sciences to foster cross-domain collaboration Highlights innovative research methodologies and their applications in AI-powered healthcare systems Discusses the role of AI in improving healthcare access, delivery, and outcomes across diverse populations This book is ideal for professionals, researchers, and policymakers seeking to understand and shape the future of healthcare through the lens of AI and data-driven innovation.
Visa hela texten

Passar bra ihop

  1. AI and Data Engineering for Healthcare
  2. +
  3. Autonomous Flying Ad-Hoc Networks

De som köpt den här boken har ofta också köpt Autonomous Flying Ad-Hoc Networks av Taskeen Zaidi, Adarsh Kumar, Saurav Mallik, Keshav Kaushik, Taskeen Zaidi (inbunden).

Köp båda 2 för 4089 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Övrig information

Anjan Bandyopadhyay currently serves as an Assistant Professor-II at the School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar, Odisha, India. He holds a Ph.D. in Computer Science and Engineering from the National Institute of Technology, Durgapur, where his research focused on Algorithmic Mechanism Design in Cloud and Fog Computing. He also earned his M.Tech. in Information Security from NIT Durgapur and his B.Tech. in Computer Science from Asansol Engineering College, affiliated with WBUT. Dr. Bandyopadhyay has over 17 years of academic and research experience across reputed institutions including AMITY University, GITAM University, and Bengal College of Engineering and Technology. His research interests include Algorithmic Game Theory, Cloud and Fog Computing, Metaverse, Quantum Computing, Edge and Health Care Systems, and Autonomous Vehicles. He has contributed extensively to the scientific community through high-impact journal publications in IEEE Access, IEEE Transactions on Sustainable Computing, Scientific Reports, Mathematics, Sensors, and others. He has also presented his work at premier IEEE conferences. Dr. Bandyopadhyay is the recipient of major research funding under the Visvesvaraya Ph.D. Scheme by the Ministry of Electronics and Information Technology, Government of India, and has been actively involved in innovative patent filings in smart healthcare, automation, and sustainability. In addition to his scholarly contributions, Dr. Bandyopadhyay has collaborated internationally, working with researchers across domains such as Artificial Intelligence, Internet of Things, and Smart Systems. He remains dedicated to fostering academic excellence, interdisciplinary research, and technological innovation in both national and global contexts. Tanvir Habib Sardar is an Assistant Professor at GITAM University, Bengaluru, India, with over 15 years of teaching and research experience in Big Data, Machine Learning, Distributed Computing, and Fuzzy Sets. He earned his Ph.D. in Computer Science from Visvesvaraya Technological University in 2022. Dr. Sardar has authored or edited seven books and contributed to eight book chapters. He has published more than 40 research papers in reputed SCIE and Scopus-indexed journals and holds 13 patents, including those based on his doctoral work. His recent notable contributions include a 2024 CRC Press book titled Big Data Computing: Advances in Technologies, Methodologies, and Applications, and a Q1 review article in WIREs Data Mining and Knowledge Discovery. He also published a high-impact research article in the Journal of Big Data in 2024. Dr. Sardar is an active reviewer for several international journals and is a lifetime member of multiple professional bodies. Beyond academics, he has contributed significantly to university-level administration, ERP coordination, curriculum design, student mentoring, and accreditation processes (NAAC, NBA). He is pursuing a post-doctoral fellowship at Astana IT University, Kazakhstan, in the Department of Intelligent Systems and Cybersecurity from March 2025 to March 2026. Saurav Mallik is currently a Research Scientist in the Department of Pharmacology and Toxicology at The University of Arizona, USA. He previously held postdoctoral positions at Harvard T.H. Chan School of Public Health (2019-2022), University of Texas Health Science Center at Houston (2018-2019), and University of Miami Miller School of Medicine (2017-2018). He earned his Ph.D. in Computer Science & Engineering from Jadavpur University in 2017, with research conducted at the Machine Intelligence Unit, Indian Statistical Institute (ISI), Kolkata. Dr. Mallik has over three years of research experience at ISI, Kolkata, including roles as a Junior Research Fellow under a DST Swarnajayanti project and as a Visiting Scientist. He also served as a UGC Research Fellow at Jadavpur University and was awarded a pres...

Du kanske gillar