Advanced Computational Intelligence Paradigms in Healthcare - 1

Herausgegeben:Yoshida, Hiroyuki; Jain, Ashlesha; Ichalkaranje, Ajita; Ichalkaranje, Nikhil

• Broschiertes Buch

Produktbeschreibung

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 contentState-based model for management of type II diabetesCase-based reasoning in medicineAssessing the quality of care in artificial intelligence environmentElectronic medical record to examine physician decisionsMulti-agent systems for the management of community healthcareAssistive wheelchair navigationModelling treatment processes using information extractionNeonatal pain detection using face classification techniquesMedical 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.

Produktdetails

• Studies in Computational Intelligence 48
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-642-08001-2
• Softcover reprint of hardcover 1st edition 2007
• Seitenzahl: 312
• Erscheinungstermin: 30. November 2010
• Englisch
• Abmessung: 235mm x 155mm x 17mm
• Gewicht: 476g
• ISBN-13: 9783642080012
• ISBN-10: 3642080014
• Artikelnr.: 32024427

Inhaltsangabe

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.