
Advanced Computational Intelligence Paradigms in Healthcare - 1
Springer (Publisher)
Published on 19. February 2007
Book
Hardback
XXI, 290 pages
978-3-540-47523-1 (ISBN)
Description
This book presents some of the most recent research results on the applications of computational intelligence in healthcare. The contents include: Information model for management of clinical content; State-based model for management of type II diabetes; Case-based reasoning in medicine; Assessing the quality of care in artificial intelligence environment; Electronic medical record to examine physician decisions; Multi-agent systems for the management of community healthcare; Assistive wheelchair navigation; Modelling treatment processes using information extraction; Neonatal pain detection using face classification techniques; Medical education interfaces using virtual patients. The book is directed to the computer scientists, medical practitioners, scientists, professors and students of health science, computer science and related disciplines.
More details
Series
Edition
2007 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XXI, 290 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 23 mm
Weight
641 gr
ISBN-13
978-3-540-47523-1 (9783540475231)
DOI
10.1007/978-3-540-47527-9
Schweitzer Classification
Other editions
Additional editions

Hiroyuki Yoshida | Ashlesha Jain | Ajita Ichalkaranje
Advanced Computational Intelligence Paradigms in Healthcare - 1
Book
11/2010
Springer
€160.49
Shipment within 7-9 days

Hiroyuki Yoshida | Ashlesha Jain | Ajita Ichalkaranje
Advanced Computational Intelligence Paradigms in Healthcare - 1
E-Book
04/2007
Springer
€149.79
Available for download
Content
Partners Healthcare Order Set Schema: An Information Model for Management of Clinical Content.- A State-Based Model for Management of Type II Diabetes.- Case-Based Reasoning in Medicine Especially an Obituary on Lothar Gierl.- Assessing the Quality of Care for End Stage Renal Failure Patients by Means of Artificial Intelligence Methodologies.- Mining the Electronic Medical Record to Examine Physician Decisions.- Capturing and Specifying Multiagent Systems for the Management of Community Healthcare.- Assistive Wheelchair Navigation: A Cognitive View.- Modeling Treatment Processes Using Information Extraction.- to Neonatal Facial Pain Detection Using Common and Advanced Face Classification Techniques.- Medical Education Interfaces Through Virtual Patients Based on Qualitative Simulation.