Next Generation Healthcare Informatics

TRAMA

This edited book provides information on emerging fields of next-generation healthcare informatics with a special emphasis on emerging developments and applications of artificial intelligence, deep learning techniques, computational intelligence methods, Internet of medical things (IoMT), optimization techniques, decision making, nanomedicine, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The chapters involved in this book cover challenges and opportunities for diabetic retinopathy detection based on deep learning applications, deep learning accelerators in IoT and IoMT, health data analysis, deep reinforcement-based conversational AI agent in healthcare systems, examination of health data performance, multisource data in intelligent medicine, application of genetic algorithms in health care, mental disorder, digital healthcare system with big data analytics, encryption methods in healthcare data security, computation and cognitive bias in healthcare intelligence and pharmacogenomics, guided imagery therapy, cancer detection and prediction techniques, medical image processing for coronavirus, and imbalance learning in health care.

SOMMARIO

Chapter 1. Methods for the recognition of multisource data in intelligent medicine: A review and next generation trends.- Chapter 2. Deep Learning in Healthcare: Challenges and Opportunities.- Chapter 3. Examination of Health Data Performance Depending on the Creative Use of Optimization Methods and Machine Learning Algorithms.- Chapter 4. Effect of computation and cognitive bias in healthcare intelligence and pharmacogenomics.- Chapter 5. Application of Genetic Algorithms in Healthcare: A Review.- Chapter 6. Decision-Making in Healthcare Nano-informatics.- Chapter 7. A Succinct Analytical Study of the Usability of Encryption Methods in Healthcare Data Security.- Chapter 8. IoMT in healthcare industry – Concepts and Applications.- Chapter 9. The Effect of Heuristic Methods Towards Performance of Health Data Analysis.- Chapter 10. AI for Stress Diagnosis at Home Environment.- Chapter 11. Contemporary Technologies to Combat Pandemics and Epidemics.- Chapter 12. Deep Learning for DiabeticRetinopathy Detection: Challenges and Opportunities.- Chapter 13. Deep Reinforcement Based Conversational AI Agent in Healthcare System.- Chapter 14. Deep Learning Empowered Fight against COVID-19: A Survey.- Chapter 15. Application of GAN in Guided Imagery Therapy.- Chapter 16. Digital Transformation in Healthcare Industry: A Survey.- Chapter 17. Application of Deep Learning in Mental Disorder: Challenges and Opportunities.

AUTORE

Dr. Tripathy received his Ph.D. degree in 1983. During his student career, he received 3 gold medals for standing first at graduation level, standing first at postgraduate level, and being adjudged as the best postgraduate of the year from Berhampur University, Odisha. He has the distinction of receiving the national scholarship at PG level, UGC (Govt. of India) fellowship for pursuing his research, DST (Govt. of India) fellowship for pursuing M. Tech. (Computer Science) in Pune University, and the SERC fellowship (DOE, Govt. India) for joining IIT Kharagpur as a visiting fellow. As recognition of his distinguished research in the field of Mathematics, he was included by American Mathematical Society as a reviewer for Mathematical Reviews and later honored with an honorary membership of American Mathematical Society in 1992. A year later, he was selected as a reviewer for Zentralblutt fur Mathematik (Germany). At present, Dr. Tripathy is a reviewer for over 100 international journals from all top publishing houses world over. He has published over 600 research articles in several international journals, proceedings of international conferences, edited research volume chapters, and national conference proceedings. Some of his publications are in journals like Information Sciences, Applied Soft Computing, IEEE Access, Journal of Mathematical Analysis and Applications, Bulletin of the Malaysian Mathematical Society, Ind. Jour. Pure & Appl. Mathematics, Journal of Educational Technology and Society, International Journal of Earth Sciences and Engineering, Kybernetes, World Applied Sciences Journal, International Journal of Communication Systems, Journal of Web Engineering and Evolutionary Intelligence, only to name a few. As an evidence of his research supervising ability, Prof. Tripathy has supervised over 52 candidates for Ph.D. degrees, M. Phil. degrees, and M. Tech./ M. S. by research degrees. Dr. Tripathy is a member of more than 20 professional bodies likea senior member of IEEE, a senior member of ACM, a senior member of IRSS, a senior life member of CSI, Indian Academy of Mathematics, IEEE Communication Society, Indian Mathematical Society, ACM Compute News group, Indian Science Congress Association, International Science and Technology group, and IEEE fuzzy logic society. He has evaluated the Ph.D. thesis of several universities from India. He has been sanctioned with three research projects from central agencies of India.   Pawan Lingras is a graduate of IIT Bombay with graduate studies from University of Regina. He is currently a professor and a director of Computing and Data Analytics at Saint Marys University, Halifax. He is also internationally active having served as a visiting professor at Munich University of Applied Sciences, IIT Gandhinagar, as a research supervisor at Institut Superieur de Gestion de Tunis, as a scholar-in-residence, and as a Shastri Indo-Canadian scholar. He has delivered more than60 invited talks at various institutions around the world. He has authored more than 210 research papers in various international journals and conferences. He has also co-authored three textbooks and co-edited two books and eight volumes of research papers. His academic collaborations/co-authors include academics from Canada, Chile, China, Germany, India, Poland, Tunisia, UK, and USA. His areas of interests include artificial intelligence, information retrieval, data mining, web intelligence, and intelligent transportation systems. He has served as the general co-chair, the program co-chair, the review committee chair, the program committee member, and a reviewer for various international conferences on artificial intelligence and data mining. He is also on editorial boards of a number of international journals. His research has been supported by Natural Science and Engineering Research Council (NSERC) of Canada for twenty-five years, as well as other funding agencies including NRC-IRAP and MITACS. His total research and development grants as of May 2020 exceed $2.5 million with $2 million coming in the last five years. He has collaborated with more than 25 companies on projects ranging from feasibility studies to product development. He has supervised 135 research students (1 PDF, 9 Ph.D., 77 Master's, 48 UG). He has coached highly successful academic teams for computer programming as well as software development competitions. He has also served on the NSERC's Computer Science peer-review committee. He has been awarded an Alumni Association Excellence in Teaching Award, Student Union's Faculty of Science Teaching Award, and President's Award for Excellence in Research at Saint Mary's University.   Prof. Arpan Kar is Amar S Gupta Chair Professor in Indian Institute of Technology Delhi, India. Within IIT Delhi, he shares a joint appointment in the Department of Management Studies and School of Artificial Intelligence. Administratively he is theChair o

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9789811924156
• Collana: Studies in Computational Intelligence
• Dimensioni: 235 x 155 mm
• Formato: Copertina rigida
• Illustration Notes: XIX, 308 p. 73 illus., 47 illus. in color.
• Pagine Arabe: 308
• Pagine Romane: xix