Medical Applications of Intelligent Data Analysis: Research Advancements
Book Citation Index

Medical Applications of Intelligent Data Analysis: Research Advancements

Indexed In: SCOPUS View 2 More Indices
Release Date: June, 2012|Copyright: © 2012 |Pages: 372
DOI: 10.4018/978-1-4666-1803-9
ISBN13: 9781466618039|ISBN10: 1466618035|EISBN13: 9781466618046
Hardcover:
Available
$195.00
TOTAL SAVINGS: $195.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
Hardcover:
Available
$195.00
TOTAL SAVINGS: $195.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
E-Book:
Available
$195.00
TOTAL SAVINGS: $195.00
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
E-Book:
Available
$195.00
TOTAL SAVINGS: $195.00
Benefits
  • Immediate access after purchase
  • No DRM
  • PDF download
  • Receive a 10% Discount on eBooks
Hardcover +
E-Book:
Available
$235.00
TOTAL SAVINGS: $235.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
Hardcover +
E-Book:
Available
$235.00
TOTAL SAVINGS: $235.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Immediate access after purchase
  • No DRM
  • PDF download
Article Processing Charge:
Available
$700.00
TOTAL SAVINGS: $700.00
OnDemand:
(Individual Chapters)
Available
$37.50
TOTAL SAVINGS: $37.50
Benefits
  • Purchase individual chapters from this book
  • Immediate PDF download after purchase or access through your personal library
Effective immediately, IGI Global has discontinued softcover book production. The softcover option is no longer available for direct purchase.
Description & Coverage
Description:

One major challenge facing modern medicine is to fulfill the promise and potential of the enormous increase in medical data sets of all kinds.

Medical Applications of Intelligent Data Analysis: Research Advancements explores the potential of utilizing this medical data through the implementation of developed models in practical applications. This premier reference source features chapters contributed by specialists in a variety of intelligent data analysis (IDA) fields related to medicine, health, and bioinformatics. All of these contributions are devoted to describing the practical medical applications of IDA and how the theory described in many other books can be implemented to improve medical care.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial intelligence in medical education
  • Computational intelligence in bio- and clinical medicine
  • Decision and regression trees
  • Discovery techniques
  • Graphical models
  • Information Retrieval
  • Intelligent medical information systems
  • Medical knowledge engineering
  • Neural Networks
  • Swarm Intelligence
Reviews & Statements

The authors of the different chapters in this handbook show the applications of those techniques [soft computing, data mining, machine learning, intelligent data analysis, extracting knowledge of massive data sets] to different clinical problems. Summarizing, the reader hold between his/her hands a complete exposition of the state of the art of the applications of those techniques in clinical practice.

– Josep Redón I Mas, European Society of Hypertension, & University of Valencia, Spain
Table of Contents
Search this Book:
Reset
Editor/Author Biographies

Rafael Magdalena-Benedito was born in 1968 in Segovia (Castellón). Between 1986 and 1991, he studied a degree in Physics at the University of Valencia, Computer and Electronic specialty. In 1993 he worked in the company of electro DextroMédica as dictafonía technician in cardiology and medical physics. In 1998 he joined the Group Processing Digital Signal Department, where he currently works on research projects, is an Assistant Professor. His areas of work are data security, multimedia networks, standardization in biomedical engineering, and telemedicine.

Emilio Soria received an MS degree in Physics (1992) and a PhD degree (1997) in Electronics Engineering from the Universitat de Valencia (Spain). He has been an Assistant Professor at the University of Valencia since 1997. His research is centered mainly in the analysis and applications of adaptive and neural systems.

Juan Guerrero Martínez earned his degree in Physics, specializing in Electrical Engineering and Electronics and Computer Science in 1984 and PhD in Physics from the University of Valencia in 1988. He has been Associate Professor at the University of Valencia since 1985 and Associate Professor in the area of Electronics since 1992. He has participated in several research projects and R & D contracts with companies on issues related to the development of control systems based on microprocessors, as well as biomedical instrumentation and processing of biosignals. He has written several papers published in conferences and national and international journals. He is currently coordinating a research group Digital Signal Processing (GPDS) on Digital Processing, with applications in various fields but preferably oriented biosignals, which is developing research projects. His main interests are the development of biomedical instrumentation systems based on microprocessor or PC and the digital processing of biosignals, including real-time applications.

Juan Guerrero Martínez earned his degree in Physics, specializing in Electrical Engineering and Electronics and Computer Science in 1984 and PhD in Physics from the University of Valencia in 1988. He has been Associate Professor at the University of Valencia since 1985 and Associate Professor in the area of Electronics since 1992. He has participated in several research projects and R & D contracts with companies on issues related to the development of control systems based on microprocessors, as well as biomedical instrumentation and processing of biosignals. He has written several papers published in conferences and national and international journals. He is currently coordinating a research group Digital Signal Processing (GPDS) on Digital Processing, with applications in various fields but preferably oriented biosignals, which is developing research projects. His main interests are the development of biomedical instrumentation systems based on microprocessor or PC and the digital processing of biosignals, including real-time applications.

Antonio Jose Serrano-López received a BS degree in Physics in 1996, a MS degree in Physics in 1998, and a Ph.D. degree in Electronics Engineering in 2002, from the University of Valencia. He is currently an Associate Professor in the Electronics Engineering Department at this same university. His research interest is machine learning methods for biomedical signal processing. Currently, he teaches courses of Analog Electronic Design and Digital Signal Processing.

Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.
Editorial Advisory Board
  • Ales Belic, University of Ljubljana, Slovenia
  • Eva Armengol, Artificial Intelligence Research Institute, Spain 
  • Pavel Sovka, Czech Technical University in Prague, Czech Republic
  • Leonor Teixeira, University of Aveiro, Portugal
  • Oana Frunza, University of Ottawa, Canada