Full Description
This book aims to apply state-of-the-art advanced computational intelligence frameworks in healthcare. It presents recent and real-life applications of computationally intelligent healthcare. It also discusses problems and solutions to remote healthcare and emergency healthcare services. Healthcare Analytics and Advanced Computational Intelligence highlights modern ambient intelligence-enabled healthcare models along with advanced topics like quantum computing in healthcare and cryptomedical systems.
Healthcare Analytics and Advanced Computational Intelligence examines designing the latest medical systems and models that will allow the societal acceptance of ambiance 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 such as computer engineering are likely to purchase the book. Various sub-streams such as machine learning, big data analytics, healthcare analytics, and computational intelligence will find the book significant for their curriculum.
Contents
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
