Applied Computing in Medicine and Health - Dhiya Al-Jumeily, Abir Hussain, Conor Mallucci, Carol Oliver

Applied Computing in Medicine and Health (eBook)

Dhiya Al-Jumeily, Abir Hussain, Conor Mallucci, Carol Oliver (Autoren)

eBook Download: PDF | EPUB

2015 | 1. Auflage
366 Seiten
Elsevier Science (Verlag)
978-0-12-803498-9 (ISBN)

Applied Computing in Medicine and Health is a comprehensive presentation of on-going investigations into current applied computing challenges and advances, with a focus on a particular class of applications, primarily artificial intelligence methods and techniques in medicine and health. Applied computing is the use of practical computer science knowledge to enable use of the latest technology and techniques in a variety of different fields ranging from business to scientific research. One of the most important and relevant areas in applied computing is the use of artificial intelligence (AI) in health and medicine. Artificial intelligence in health and medicine (AIHM) is assuming the challenge of creating and distributing tools that can support medical doctors and specialists in new endeavors. The material included covers a wide variety of interdisciplinary perspectives concerning the theory and practice of applied computing in medicine, human biology, and health care. Particular attention is given to AI-based clinical decision-making, medical knowledge engineering, knowledge-based systems in medical education and research, intelligent medical information systems, intelligent databases, intelligent devices and instruments, medical AI tools, reasoning and metareasoning in medicine, and methodological, philosophical, ethical, and intelligent medical data analysis. - Discusses applications of artificial intelligence in medical data analysis and classifications - Provides an overview of mobile health and telemedicine with specific examples and case studies - Explains how behavioral intervention technologies use smart phones to support a patient centered approach - Covers the design and implementation of medical decision support systems in clinical practice using an applied case study approach

Applied Computing in Medicine and Health is a comprehensive presentation of on-going investigations into current applied computing challenges and advances, with a focus on a particular class of applications, primarily artificial intelligence methods and techniques in medicine and health. Applied computing is the use of practical computer science knowledge to enable use of the latest technology and techniques in a variety of different fields ranging from business to scientific research. One of the most important and relevant areas in applied computing is the use of artificial intelligence (AI) in health and medicine. Artificial intelligence in health and medicine (AIHM) is assuming the challenge of creating and distributing tools that can support medical doctors and specialists in new endeavors. The material included covers a wide variety of interdisciplinary perspectives concerning the theory and practice of applied computing in medicine, human biology, and health care. Particular attention is given to AI-based clinical decision-making, medical knowledge engineering, knowledge-based systems in medical education and research, intelligent medical information systems, intelligent databases, intelligent devices and instruments, medical AI tools, reasoning and metareasoning in medicine, and methodological, philosophical, ethical, and intelligent medical data analysis. - Discusses applications of artificial intelligence in medical data analysis and classifications- Provides an overview of mobile health and telemedicine with specific examples and case studies- Explains how behavioral intervention technologies use smart phones to support a patient centered approach- Covers the design and implementation of medical decision support systems in clinical practice using an applied case study approach

Author Biographies

Chapter 1

Shamaila Iram works as a research fellow in the School of Built Environment at the University of Salford, United Kingdom. She received her PhD in Computer Science from Liverpool John Moores University in 2014. During her PhD, she got an opportunity to work in the SIGMA Laboratory at ESPCI ParisTech, France, for a few months. There, she worked on the early detection of Alzheimer using electroencephalographic signals. Previously, in 2010, Shamaila had obtained her MSc degree in Computing and Information Systems from Liverpool John Moores University, with Distinction. Her research interests are Big Data Analysis, Machine Learning, Signal Processing, and Artificial Intelligence.

– UK

Francois Vialatte is an associate professor at ESPCI ParisTech, Brain Plasticity Lab (Paris, France). He is also working as a team leader for brain–computer interface projects in the SIGMA Laboratory. His research interests are model signal processing, neuroscience, modeling, time-frequency analysis (wavelets, bump modeling), machine learning (LDA, neural networks, SVM). Previously, he worked as a senior researcher in signal processing for neuroscience in Riken BSI (lab. ABSP), Japan.

– France

Irfan Qamar is a senior IT professional currently working as an Enterprise Infrastructure Consultant at IBM Canada, Ltd. In his current role, he provides consulting services to some leading financial industry clients. Before IBM, he worked for Hewlett Packard as a consultant. Irfan works with various middleware and database-related technologies. He holds a bachelor's degree in Computer Science from York University, Toronto.

– Canada

Chapter 2

Chelsea Dobbins is a senior lecturer at the School of Computer Science at Liverpool John Moores University. She received her PhD in Computer Science, focusing on Human Digital Memories and Lifelogging, from Liverpool John Moores University in 2014. Her research interests include machine learning, mobile computing, lifelogging, human digital memories, pervasive computing, Big Data, artificial intelligence, and physiological computing.

– UK

Stephen Fairclough is a Professor of psychophysiology in the School of Natural Sciences and Psychology at Liverpool John Moores University. He received his PhD from Loughborough University in 2000. His research interests include physiological computing, cardiovascular psychophysiology and human factors psychology.

– UK

Chapter 3

B. Chandra is Professor of the Computer Science Group, Department of Mathematics, in the Indian Institute of Technology, Delhi, and previously was the Department Chair from 2004 to 2007. Her specialization is in the area of data mining, neural networks, machine learning and feature selection for gene expression data. She has been a visiting professor for a year at the University of Pittsburgh and at the Penn State University, United States. She has also been a visiting scientist at NIST, Gaithersburg, Maryland, during the summer of 2012. She has been the chairman of many sessions in data mining and machine learning in international conferences organized in United States, United Kingdom, Canada, Singapore, and France.

– India

Chapter 4

Michael Osadebey received the BSc degree in Physics and postgraduate diploma in electrical engineering from the University of Port-Harcourt and Rivers State University of Science and Technology, in Nigeria, in 1997 and 2000, respectively. He has an MSc in engineering (electronics) and biomedical engineering from Umea University, Umea, Sweden, and Tampere University of Technology, Tampere, Finland, in 2006 and 2009, respectively. Osadebey is currently a PhD candidate at Concordia University, Montreal, Canada. Mr. Osadebey works as a magnetic resonance image (MRI) reader at NeuroRx Research Inc., a clinical research organization based in Montreal, Canada. His duties at NeuroRx research include the application of advanced image analysis software in the analysis of MRI images of multiple sclerosis patients undergoing clinical drug trials treatment.

– Canada

Nizar Bouguila received his engineering degree from the University of Tunis in 2000 and MSc and PhD degrees from Sherbrooke University in 2002 and 2006, respectively, all in Computer Science. He is currently an Associate Professor with the Concordia Institute for Information Systems Engineering (CIISE) at Concordia University, Montreal, Quebec, Canada. His research interests include image processing, machine learning, data mining, 3D graphics, computer vision, and pattern recognition. In 2007, he received the Best PhD Thesis Award in engineering and natural sciences from Sherbrooke University, was awarded the prestigious Prix d'excellence de l'association des doyens des etudes superieures au Quebec (Best PhD Thesis Award in Engineering and Natural Sciences in Quebec), and was a runner-up for the prestigious NSERC Doctoral Prize.

– Canada

Douglas Arnold, MD, is currently Professor in the Department of Neurology and Neurosurgery at McGill University, Director of the Magnetic Resonance Spectroscopy Unit in the Brain Imaging Center at the Montreal Neurological Institute, and president of NeuroRx Research, a central nervous system imaging clinical research organization. He has special expertise in advanced magnetic resonance imaging (MRI) acquisition and analysis techniques, particularly as they relate to understanding the evolution of multiple sclerosis (MS) and neurodegeneration. Dr. Arnold combines advanced image processing of conventional structural images with nonconventional MRI acquisition techniques such as magnetization transfer imaging and magnetic resonance spectroscopy to understand how inflammation in MS relates to injury to myelin and neurons. He also uses these techniques to understand how new therapies for MS affect the pathobiology of the disease. Dr. Arnold received his medical degree from Cornell University. He completed his residency in Neurology at McGill University and a postdoctoral fellowship in Magnetic Resonance at the University of Oxford.

– Canada

Chapter 5

Obinna Anya is a research staff member at IBM Research, Almaden. His research lies in the areas of human–computer interaction, collaborative workplaces, social informatics, and agent-based modeling with a focus on user analytics to inform the design of sociocomputational systems and environments for network-enabled organizations of the future. His current work investigates interaction and emergence in these kinds of systems. Obinna holds a PhD in Computer Science, an MSc in Distributed Systems—both from the University of Liverpool—and a BSc in Computer Science from the University of Nigeria, Nsukka. He has previously worked as a research scientist at Liverpool Hope University, where he was the lead researcher on a British Council–sponsored project titled Context-Aware Information Systems for e-Health Decision Support.

– USA

Hissam Tawfik is an associate professor of computer science and the program leader for the MSc Computer Science, MBA (Information Technology), and Computer Science PhD programs at Liverpool Hope University. He holds an MSc and PhD in Computer Engineering from University of Manchester and has an established research track, with more than 100 refereed journal and conference publications in the areas of biologically inspired systems, virtual reality, e-health, user-centered systems, intelligent transportation systems, and applied modeling and simulation for building layout and urban planning. Hissam leads the Intelligent and Distributed Systems (IDS) Group at Liverpool Hope, serves on various editorial boards and review committees for international journals and conferences, and is a conference chair and organizer of the International Conference Series on Developments in eSystems Engineering DESE (www.dese.org.uk). He has previously collaborated on a number of EU-funded research projects, as well as a British Council–funded project titled Context-Aware Information Systems for e-Health Decision Support (in collaboration with the British University in Dubai), where he was the principal investigator.

– UK

Chapter 6

Paul Fergus is a senior lecturer in computer science in the School of Computer Science at Liverpool John Moores University, a visiting professor at Al Dar University College in Dubai, and a visiting professor at Supelec in France. Paul received a BSc (Hons) degree in Artificial Intelligence from Middlesex in 1997, an MSc in Computing for Commerce and Industry from the Open University in 2001, and a PhD in Computer Science from Liverpool John Moores University in 2005. Paul has more than five years’ experience as a senior software engineer in industry and has worked on several development projects for the Prison Service, Ericsson, Nokia, NMC, Nissan, and Pilkington Glass. He has been an active research for more than 10 years and has published more than 130 papers on topics that include artificial intelligence, semantic web, signal processing, bioinformatics, and data science.

– UK

De-Shuang Huang received his BSc, MSc, and PhD degrees, all in Electronic Engineering, from the Institute of Electronic Engineering, Hefei, National Defense University of Science and Technology, Changsha, and Xidian...

Erscheint lt. Verlag	21.8.2015
Sprache	englisch
Themenwelt	Mathematik / Informatik ► Informatik ► Betriebssysteme / Server
	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Informatik ► Weitere Themen ► Bioinformatik
	Naturwissenschaften ► Biologie
	Sozialwissenschaften ► Kommunikation / Medien ► Buchhandel / Bibliothekswesen
ISBN-10	0-12-803498-X / 012803498X
ISBN-13	978-0-12-803498-9 / 9780128034989

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