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Advanced Computational Intelligence Paradigms in Healthcare - 1
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Artikel-Nr:
9783540475231
Veröffentl:
2007
Einband:
HC runder Rücken kaschiert
Erscheinungsdatum:
19.02.2007
Seiten:
316
Autor:
Hiroyuki Yoshida
Gewicht:
641 g
Format:
241x160x23 mm
Serie:
48, Studies in Computational Intelligence
Sprache:
Englisch
Beschreibung:
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.
Latest research on computational intelligence paradigms in healthcare in intelligent agent environment
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.