Innovation in Medicine and Healthcare Systems, and Multimedia, 1st ed. 2019 Proceedings of KES-InMed-19 and KES-IIMSS-19 Conferences Smart Innovation, Systems and Technologies Series, Vol. 145

This book contains the proceedings of the KES International conferences on Innovation in Medicine and Healthcare (KES-InMed-19) and Intelligent Interactive Multimedia Systems and Services (KES-IIMSS-19), held on 17?19 June 2019 and co-located in St. Julians, on the island of Malta, as part of the KES Smart Digital Futures 2019 multi-theme conference.

The major areas covered by KES-InMed-19 include: Digital IT Architecture in Healthcare; Advanced ICT for Medical and Healthcare; Biomedical Engineering, Trends, Research and Technologies and Healthcare Support System. The major areas covered by KES-IIMSS-19 were: Interactive Technologies; Artificial Intelligence and Data Analytics; Intelligent Services and Architectures and Applications.

This book is of use to researchers in these vibrant areas, managers, industrialists and anyone wishing to gain an overview of the latest research in these fields.

Part 1: KES-InMed-19 Proceedings.- Chapter 1. Development of a Prototype of a Fast Proximity Authentication System for Electronic Medical Record Terminals Based Virtual Desktop Interface.- Chapter 2. ArchiMate Business Model Patterns to e-Healthcare.- Chapter 3. Monetary and Health Benefits from Better Health Data: Estimating Lives and Dollars Saved from Universal Adoption of the Leapfrog Safety and Quality Standards.- Chapter 4. Success Factors for Realizing Regional Comprehensive Care by EHR with Administrative Data.- Chapter 5. Clinical Decision Support System with Electronic Health Record: Digitization of Research in Pharma.- Chapter 6. Data Augmentation for Building an Ensemble of Convolutional Neural Networks.- Chapter 7. Transfer Learning and Fusion Model for Classification of Epileptic PET Images.- Chapter 8. Multiphase Focal Liver Lesions Classification with Combined N-gram and BoVW.- Chapter 9. SWT-DCT Based Robust Watermarking for Medical Image.- Chapter 10. WatermarkingAlgorithm for Encrypted Medical Image Based on DCT-DFRFT.- Chapter 11. Logistic Map and Contourlet Based Robust Zero-watermark for Medical Images.- Chapter 12. A Sensor Platform for Non-Invasive Remote Monitoring of Older Adults in Real Time.- Chapter 13. Deep Learning for Detecting Breast Cancer Metastases on WSI.- Chapter 14. Advanced Image Processing Algorithms for Breast Cancer Decision Support and Information Management System.- Chapter 15. FDCT and Perceptual Hash Based Watermarking Algorithm for Medical Images.

Yen-Wei Chen was born in Hangzhou, China in 1962. He received his B.E. degree in 1985 from Kobe University, Kobe, Japan. He received his M.E. degree in 1987, and his D.E. degree in 1990, both from Osaka University, Osaka, Japan. He was a research fellow at the Institute of Laser Technology, Osaka, from 1991 to 1994. From October 1994 to March 2004, he was an Associate Professor and a Professor in the Department of Electrical and Electronic Engineering, University of the Ryukyus, Okinawa, Japan. He is currently a Professor at the College of Information Science and Engineering, Ritsumeikan University, Kyoto, Japan. He is also a Visiting Professor at the College of Computer Science and Technology, Zhejiang University, Hangzhou, China. He was a visiting scholar at Oxford University, Oxford, UK in 2003 and at Pennsylvania State University, Pennsylvania, USA in 2010. His research interests include medical image analysis and pattern recognition. He has published more than 300 research papers. He has received many distinguished awards including Best Scientific Paper Award of ICPR2013 and Outstanding Chinese Oversea Scholar Fund of Chinese Academy of Science. He is the Principal Investigator of several projects in biomedical engineering and image analysis, funded by the Japanese Government.

Alfred Zimmermann is a Professor at Reutlingen University, Germany. He is Director of Research and Speaker of the Doctoral Program for Services Computing at the Herman Hollerith Center, Boeblingen, Germany. His research is focused on digital transformation and digital enterprise architecture with decision analytics in close relationship with digital strategy and governance, software architecture and engineering, artificial intelligence, data analytics, Internet of Things, services computing, and cloud computing. He graduated in Medical Informatics at the University of Heidelberg, Germany and obtained his Ph.D. in Informatics from the University of Stuttgart, Germany