1st Edition
Healthcare Analytics and Advanced Computational Intelligence
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, highlight 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 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.
Chapter 1: Human-Computer Interaction and Healthcare: A Deep Insight
Aryan Mohanty
Chapter 2: Deep Dive into Cognitive Assisted Ambient Intelligent System for Quality Healthcare
Uday Bhanu Ghosh, Abhishek Kesharwani, Tanmay Khatri
Chapter 3: Emergence of Telemedicine Applications using Machine Learning
Anshuman Behera, Pratyush Mishra, Saswat Mohanty, Raseswari Sarangi, Tarek Gaber
Chapter 4: Prospective of Internet of Medical Things in Revolutionizing Connected Healthcare
Kratika Kansal , Samikshya Sarangi, Saakshi Smriti, Khaled Shaalan
Chapter 5: A Comparison Analysis of Cryptographic Methods in Sustainable Healthcare
Tapaswini Tripathy, Anjana Mishra, Rukaiya Khan
Chapter 6: Integration of Quantum Computing in Healthcare Using Machine learning models
Tridiv Swain
Chapter 7: Enhancing Communication by using Sign Language Recognition
Souryadipta Das, Oindrila Ajha
Chapter 8: Intelligent Ambulance Services Management: A Comprehensive Medical Service for Emergency Healthcare
Aradhana Behura
Chapter 9: A Comparative Study of Machine Learning and Deep Learning Methods for Detecting Thyroid Disease: An Experimental Investigation
Jay Prakash Singh, Debolina Ghosh, Francis Palma, Jagannath Singh
Chapter 10: Sensory Smart Pills for Precision Drug Delivery
Shubham Suman, Priyanka Malakar, Aadarsh Choudhary
Chapter 11: Smart and Assertable Approach for Brain Tumor Detection
Rishika Singh, Kashish Kaur, Aditi Yadav
Chapter 12: Cardiac Disease Risks Pattern Recognition using Advanced Predictive Analytics
Sayan Garai, Prachi Kashyap, Shayan Irfan, Ananya Pareek
Chapter 13: Design of a Novel Medical Chatbot to Simulate User Interactions
Angelia Melani Adrian
Chapter 14: Significance of Vehicular Ad Hoc Networks (VANETs) in Smart Healthcare: Research Challenges and Case Studies
Aradhana Behura
Biography
Sushruta Mishra is working as an Assistant Professor in the School of Computer Engineering, KIIT University, India. He pursued his M.Tech from IIIT, Bhubaneswar, India and has completed his Ph.D in Computer Science from KIIT University, India. Dr. Mishra has more than 11 years of teaching experience in various educational institutions. He has handled many subjects such as Computer networks, Data mining, Internet of Things, Software engineering, Machine learning among others during his academic experience. He has a research experience of around 10 years and his research interest includes Image processing, Machine Learning, Internet of Things and Cognitive computing. He has published more than 150 research articles in reputed indexed International Journals, Edited books and Conferences.
Meshal Alharbi is an Assistant Professor of Artificial Intelligence in the Department of Computer Science at Prince Sattam Bin Abdulaziz University in the Kingdom of Saudi Arabia. He received PhD degree in Computer Science from Durham University, UK, in 2020, and MSc degree in Computer Science from Wayne State University, USA, in 2014. He has 10 years of Experience in Teaching / Research, / Industry. His research interests lie in the Artificial Intelligence Applications and Algorithms, Agent-Based Modelling and Simulation Applications, Disaster / Emergency Management and Resilience, Optimization Applications, and Machine Learning.
Hrudaya Kumar Tripathy, Associate Professor, School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India. Dr. Hrudaya Kumar Tripathy is from Odisha and is an Indian by birth. He is presently working as Associate Professor in School of Computer Engineering at KIIT University, Bhubaneswar, Odisha, India. He has received his Ph.D degree in Computer Science from Berhampur University, Berhampur, Odisha, India in Computer Science in 2010. He completed his Post Doctoral Research from Utara Universiti, Malaysia in 2016. He has an academic experience of around 20 years. He has handled various subjects like Software engineering, Machine learning, Business intelligence etc. His research interest includes Neural Networks, Pattern Recognition, Software Engineering, Machine learning and Big Data. He has published several research papers in various journals and conferences. He has sound knowledge in the domain of ASD analysis. He was involved in aggregating data records from many regional autistic centers. He has delivered few seminars and talks in autistic centers and NGOs related to the risks disorders associated with autism. He has published 3 research papers in scopus indexed publications. He also successfully led a project on behavioral analysis of autistic students in KIIT university.
Biswajit Sahoo is Director General and Professor at the School of Computer Engineering, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India. Graduated from NIT, Durgapur, West Bengal, with a Bachelor of Engineering in Electronics & Communication Engineering, and earned a Master of Engineering in Computer Science & Engineering from IIEST Sibpur, West Bengal. Having successfully completed his doctorate, Dr. Sahoo holds an award as Ph.D from the Utkal University, Bhubaneswar, Odisha, With a 3-year of industrial experience as a Chip Level Maintenance Engineer at Bells Control, Calcutta, he has expert knowledge of telecom equipment and computers. Moreover, Dr. Sahoo has 25 years of experience in teaching both UG and PG courses at different colleges and universities in Odisha. The research work of Dr. Sahoo has been published in more than 30 national & international journals and conferences in repute. His research interests include Algorithms, Bioinformatics, and Parallel Computing.
Ahmed Alkhayyat received the B.Sc. degree in electrical engineering from Al Kufa University, Najaf, Iraq, in 2007, the M.Sc. degree from the Dehradun Institute of Technology, Dehradun, India, in 2010, and the Ph.D. degree from Çankaya University, Ankara, Turkey, in 2015. He is currently the Dean of International Relationship and the Manager of the word ranking with The Islamic University, Najaf. His research interests include the IoT in the health-care systems, SDN, network coding, cognitive radio, efficient-energy routing algorithms and efficient-energy MAC protocol in cooperative wireless networks, wireless body area networks, and cross-layer designing for self-organized networks. He contributed in organizing a several IEEE conferences, workshop, and special sessions. To serve the community, he acted as a reviewer for several journals and conferences.
