Buch, Englisch, 264 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: Artificial Intelligence for Sustainable Engineering and Management
Buch, Englisch, 264 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: Artificial Intelligence for Sustainable Engineering and Management
ISBN: 978-1-03-260190-8
Verlag: Taylor & Francis Ltd
Healthcare Analytics and Advanced Computational Intelligence examines designing the latest medical systems and models that will allow the societal acceptance of ambience computing in healthcare, medical imaging, health analytics, machine intelligence, sensory computing, medical data analytics, disease detection, telemedicine and their applications. It includes diverse case studies dealing with various clinical based applications. These intelligent models are primarily structured to deal with complex real-world issues in clinical data analytics, by means of state-of-the-art techniques with general implementation, domain-specific solutions, or hybrid methods which integrate computational intelligence with conventional statistical methods.
The book is written for researchers and academicians in diverse areas. Engineers from technical disciplines like computer engineering are likely to purchase the book. Various sub-streams like Machine learning, big data analytics, healthcare analytics and computational intelligence will find the book significant for their curriculum.
Zielgruppe
Professional Reference
Autoren/Hrsg.
Weitere Infos & Material
Chapter 1: Human-Computer Interaction and Healthcare: A Deep Insight. Chapter 2: Deep Dive into Cognitive Assisted Ambient Intelligent System for Quality Healthcare. Chapter 3: Emergence of Telemedicine Applications using Machine Learning. Chapter 4: Prospective of Internet of Medical Things in Revolutionizing Connected Healthcare. Chapter 5: A Comparison Analysis of Cryptographic Methods in Sustainable Healthcare. Chapter 6: Integration of Quantum Computing in Healthcare Using Machine learning models. Chapter 7: Enhancing Communication by using Sign Language Recognition. Chapter 8: Intelligent Ambulance Services Management: A Comprehensive Medical Service for Emergency Healthcare. Chapter 9: A Comparative Study of Machine Learning and Deep Learning Methods for Detecting Thyroid Disease: An Experimental Investigation. Chapter 10: Sensory Smart Pills for Precision Drug Delivery. Chapter 11: Smart and Assertable Approach for Brain Tumor Detection. Chapter 12: Cardiac Disease Risks Pattern Recognition using Advanced Predictive Analytics. Chapter 13: Design of a Novel Medical Chatbot to Simulate User Interactions. Chapter 14: Significance of Vehicular Ad Hoc Networks (VANETs) in Smart Healthcare: Research Challenges and Case Studies