
Evolving Predictive Analytics in Healthcare by Abhishek Kumar
This book examines machine learning trends in predictive technology to solve real-time healthcare problems. By using real-time data inputs to build predictive models, this new technology can model disease progression, assist with interventions or predict patient outcomes.-
Handbook of Cybersecurity for e-Health
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Enhanced Living Environments
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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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Explainable Artificial Intelligence in Medical Decision Support Systems
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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
Abhishek Kumar is an assistant professor in the Department of Computer Science and Engineering at the Institute of Engineering and Technology, Chitkara University, India. He has a Doctorate in Computer Science from the University of Madras and is a Post-Doctoral Fellow of the Ingenium Research Group, Universidad De Castilla-La Mancha, Spain. He has published over 80 journal papers and edited 21 books. His research areas include artificial intelligence, image processing, computer vision, data mining, and machine learning. Ashutosh Kumar Dubey is an associate professor in the Department of Computer Science and Engineering at the Institute of Engineering and Technology, Chitkara University, India. He is a Senior Member of IEEE and ACM. His research interests include machine learning, health informatics, and cloud computing. Surbhi Bhatia is an associate professor at the College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. She is PMP certified from PMI, USA. She has published 75 papers in reputed journals and conferences and edited 9 books. She has 9 patents from the USA, Australia, and India and has completed 5 research projects from the Ministry of Education and DSR, Saudi Arabia. Her research interests include sentiment analysis, data analytics, and machine learning. Swarn Avinash Kumar is an applied research scientist at Meta Platforms, Inc. (previously Facebook), USA. He has previously worked in software engineering roles at Lyft Inc., Google and Amazon. He has filed multiple patents in the autonomous industry and the machine learning sphere. His research interests include robotics, deep learning, natural language processing, and computer vision. Dac-Nhuong Le is an associate professor in the Department of Computer Science and head of the Faculty of Information Technology at Haiphong University, Vietnam. He has more than 20 years of academic teaching experience and has published more than 80 papers, presentations, and book chapters. His research interests include evolutionary multi-objective optimization, network communication and security, cloud computing, and virtual/argument reality.
| SKU | Unavailable |
| ISBN 13 | 9781839535116 |
| ISBN 10 | 1839535113 |
| Title | Evolving Predictive Analytics in Healthcare |
| Author | Abhishek Kumar |
| Series | Healthcare Technologies |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Institution of Engineering and Technology |
| Year published | 2022-10-25 |
| Number of pages | 420 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |














































