Smart Healthcare Analytics: State of the Art

ISBN-13: 9789811653032 / Angielski / Twarda / 2021 / 200 str.

Prasant Kumar Pattnaik; Ashlesha Vaidya; Suneeta Mohanty

Spis treści

Smart Healthcare Analytics in IoT enabled Environment: An overview.- Neuronal reconstitution effect of stem cell transplantation for smart healthcare after focal cerebral ischemia.- A Review of Cancer Detection and Prediction Based on Supervised and Unsupervised Learning Techniques.- Resource Management Challenges in IoT based healthcare system.- A Comprehensive and Analytical Study of Smart Healthcare with IoT.- Clinical Study on Itching Relief Caused by Dry Skin of Cosmetics Containing Ceramide NP and Guaiazulene in Smart Healthcare Products.- Study and Impact Analysis of  Machine Learning Approaches for Smart Healthcare in Predicting Mellitus Diabetes on Clinical Data.- A Review of Flying Robot Applications in Healthcare.- Application of Deep Learning  in Biomedical Informatics and Healthcare.- Integration of Machine Learning and IoT for Assisting Medical Experts in Brain Tumor Diagnosis.- The relationship between SNS fatigue, SNS immersion and social support recognized by SNS due to smart intelligence.- Factors Affecting Attitudes toward Death of Korean Nursing College Students; Including Spiritual Well-being for Smart healthcare.- Development of smart healthcare cosmetic ingredients using lactic acid fermented coffee.- Ranking of  SARS-CoV-2 Vaccines with reference to India.- RFID based Patient Billing Automation Using Internet of Things (IoT).

O autorze

Dr. Prasant Kumar Pattnaik, Ph.D (Computer Science), Fellow IETE, Senior Member IEEE, is a professor at the School of Computer Engineering, KIIT Deemed University, Bhubaneswar. He has more than a decade of teaching and research experience. Dr. Pattnaik has published numbers of research papers in peer-reviewed international journals and conferences. He also published many edited book volumes in Springer ,IGI Global and Wiley Publication, and he has co-authored the popular Computer Science and Engineering text books, “Fundamental of Mobile Computing”, PHI and “Cloud Computing Solutions: Architecture, Data Storage, Implementation and Security”, John Wiley & Sons Inc. His areas of interest include mobile computing, cloud computing, cyber security, intelligent systems and brain computer interface. He is one of the associate editor of Journal of Intelligent and Fuzzy Systems, IOS Press, an associate editor of Recent Patentson Computer Science, Benthams Science, and  a series editor of Advances in Quantum Computing book series, Wiley-Scrivener Publication, USA and Intelligent Systems Book Series ,CRC Press, Taylor Francis Group, USA.

Dr. Ashlesha Vaidya, MBBS, FRACP, FAANMS, is Staff Specialist Geriatrician at the Royal Adelaide Hospital. She has a wide range of experience in Geriatric Medicine, having worked in hospital and community settings in the public sector over the last decade. She co-edited four books for Springer and World Scientific few years ago.

Dr. Suneeta Mohanty,  Ph.D. (Computer Science), is working as an assistant professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. She has 16 years of experience in teaching various subjects in computer science and engineering to students of undergraduate and postgraduate program. She has published several research papers in peer-reviewed international journals and conferences including IEEE and Springer as well as serves as an organising chair (SCI-2018). She was appointed in many conferences as a session chair, reviewer and track co-chair. Her research area includes cloud computing, big data, Internet of things and data analytic. 

Dr Ana Hol is an associate professor and an associate dean, Learning and Teaching, School of Computer, Data and Mathematical Sciences at the Western Sydney University. She graduated from the University of Western Sydney with B.A, first class honours and for her achievements was awarded the university medal. Her research interests are in the areas of information systems, SMEs (small and medium enterprises) information technology use, acceptance and adoption; eTransformation and eCollaboration of the businesses within developed and developing countries; information systems and applications for education; social networking technologies; process optimisation and knowledge management. Ana is a member of Enhanced Living with Information Systems Research Group and an associate member of Telehealth Research and Innovation Laboratory.  As a part of Ana’s Ph.D. research study, she developed eTransformation guide methodology for the SMEs (eT Guide). She wrote a book and a number of referred conference papers. Ana organised three international conferences. She is a co-editor of the International Journal on Advances in ICT for Emerging Regions and a program committee member and the reviewer for 14 international conferences. Her teaching interests are in the areas of eTransformation, eBusiness, enterprise information management and information systems deployment and management. Ana is a winner of the Australian Computer Society (ACS) Disruptor ICT Educator of the Year (2018) Award and the South East Asia Regional Computer Confederation Global ICT Educator of the Year 2018 Award.

Blurb

This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare systems, intelligent medicine box, RFID technology, HMI, cognitive interpretation, BCI, remote health monitoring systems, wearable sensors, WBAN, healthcare analytics, machine learning (ML) techniques for IoT-enabled healthcare services, security and privacy issues in IoT-based healthcare monitoring systems. The book discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry.