Advanced Computational Intelligence Paradigms in Healthcare - 1

Inbunden, Engelska, 2007

Del 48 i serien Studies in Computational Intelligence

1 718 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2007-02-19
Mått:155 x 235 x 23 mm
Vikt:641 g
Format:Inbunden
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:290
Upplaga:2007
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540475231

Utforska kategorier

Artificiell intelligens inom Data och IT
Hälso- och sjukvård inom Medicin

Innehållsförteckning

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.