Advanced Computational Intelligence Paradigms in Healthcare – 1 [electronic resource] / edited by Hiro Yoshida, Ashlesha Jain, Ajita Ichalkaranje, Lakhmi C. Jain, Nikhil Ichalkaranje.

By: Yoshida, Hiro [editor.]Contributor(s): Jain, Ashlesha [editor.] | Ichalkaranje, Ajita [editor.] | Jain, Lakhmi C [editor.] | Ichalkaranje, Nikhil [editor.] | SpringerLink (Online service)Material type: TextTextLanguage: English Series: Studies in Computational Intelligence: 48Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007Description: XXI, 290 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540475279Subject(s): Engineering | Artificial intelligence | Engineering mathematics | Engineering | Appl.Mathematics/Computational Methods of Engineering | Artificial Intelligence (incl. Robotics)Additional physical formats: Printed edition:: No titleDDC classification: 519 LOC classification: TA329-348TA640-643Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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.
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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.

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.

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