
Explainable Artificial Intelligence in Medical Decision Support Systems by Agbotiname Lucky Imoize
This edited book gives insights into the deployment, application, management, and benefits of explainable artificial intelligence (XAI) in medical decision support systems (MDSS). The book discusses XAI-based analytics for patient-specific MDSS as well as related security and privacy issues.-
Handbook of Cybersecurity for e-Health
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Health Informatics
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Introduction to Biomechatronics
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Biomedical Nanomaterials
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Applications of Artificial Intelligence in E-Healthcare Systems
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Human Monitoring, Smart Health and Assisted Living
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Medical Information Processing and Security
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Blockchain Technology in e-Healthcare Management
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Wearable Technologies and Wireless Body Sensor Networks for Healthcare
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Exploring Intelligent Healthcare with Quantum Computing
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Wireless Medical Sensor Networks for IoT-based eHealth
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Machine Learning for Healthcare Technologies
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Security and Privacy of Electronic Healthcare Records
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Control of Prosthetic Hands
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Advances in Telemedicine for Health Monitoring
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Value-based Learning Healthcare Systems
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Neurotechnology
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Blockchain and Machine Learning for e-Healthcare Systems
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Soft Robots for Healthcare Applications
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Portable Biosensors and Point-of-Care Systems
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Semiconductor Lasers and Diode-based Light Sources for Biophotonics
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Patient-Centered Digital Healthcare Technology
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Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video
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Secure Big-data Analytics for Emerging Healthcare in 5G and Beyond
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Evolving Predictive Analytics in Healthcare
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Applications of Machine Learning in Digital Healthcare
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Active and Assisted Living
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Engineering High Quality Medical Software
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AI, Numerical Optimization, IoT and Blockchain for Healthcare 4.0
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Artificial Intelligence and Blockchain Technology in Modern Telehealth Systems
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Energy Harvesting Solutions for Implantable Medical Devices
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The Internet of Medical Things
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Techniques and Technologies in Electrical Stimulation for Neuromuscular Rehabilitation
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Medical Equipment Engineering
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Innovations in Healthcare Informatics
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Blockchain for 5G Healthcare Applications
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Technologies and Techniques in Gait Analysis
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Digital Methods and Tools to Support Healthy Ageing
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Smart Health Technologies for the COVID-19 Pandemic
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Mobile Technologies for Delivering Healthcare in Remote, Rural or Developing Regions
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Technologies for Healthcare 4.0
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Digital Twin Technologies for Healthcare 4.0
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Technology-Enabled Motion Sensing and Activity Tracking for Rehabilitation
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Cybersecurity in Emerging Healthcare Systems
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Deep Learning in Medical Image Processing and Analysis
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Medical Imaging Informatics
Agbotiname Lucky Imoize is a lecturer in the Department of Electrical and Electronics Engineering at the University of Lagos, Nigeria and a research scholar at Ruhr University Bochum, Germany. He is a Fulbright fellow, a senior member of the IEEE, and a registered engineer. He has published over 90 articles and conference papers, two edited textbooks, and five book chapters. His research interests are 6G wireless communication, artificial intelligence, and the Internet of Things. Jude Hemanth is a professor at Karunya University, Coimbatore, India. He has delivered more than 100 keynote talks and invited lectures at international conferences and workshops, and has authored more than 100 research papers and 27 edited books. His research areas include computational intelligence and image processing. Dinh-Thuan Do is a research scientist in the Department of Electrical Engineering, University of Colorado Denver, USA. He won a Golden Globe Award from the Vietnam Ministry of Science and Technology in 2015. He has published over 200 journal and conference papers, one textbook, two edited books and eight book chapters. His research interests include signal processing in wireless communications networks, full-duplex transmission, and energy harvesting. Samarendra Nath Sur is an assistant professor in the Department of Electronics & Communication Engineering at Sikkim Manipal Institute of Technology, India. His research interests include wireless communication, signal processing, and remote sensing. He has published more than 77 SCI/Scopus indexed international journal and conference papers, four edited textbooks, and five book chapters. He is a senior member of the IEEE and associate member of the Institution of Engineers (India) (IEI).
| SKU | Unavailable |
| ISBN 13 | 9781839536205 |
| ISBN 10 | 1839536209 |
| Title | Explainable Artificial Intelligence in Medical Decision Support Systems |
| Author | Agbotiname Lucky Imoize |
| Series | Healthcare Technologies |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Institution of Engineering and Technology |
| Year published | 2023-01-30 |
| Number of pages | 545 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |













































