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Advanced Computational Intelligence Paradigms in Healthcare - 1 Softcover reprint of hardcover 1st ed. 2007 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 290 pages, height x width: 235x155 mm, weight: 480 g, XXI, 290 p., 1 Paperback / softback
  • Sērija : Studies in Computational Intelligence 48
  • Izdošanas datums: 30-Nov-2010
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642080014
  • ISBN-13: 9783642080012
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  • Mīkstie vāki
  • Cena: 136,16 €*
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  • Standarta cena: 160,19 €
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  • Formāts: Paperback / softback, 290 pages, height x width: 235x155 mm, weight: 480 g, XXI, 290 p., 1 Paperback / softback
  • Sērija : Studies in Computational Intelligence 48
  • Izdošanas datums: 30-Nov-2010
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642080014
  • ISBN-13: 9783642080012
Citas grāmatas par šo tēmu:

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 AI environment; electronic medical record to examine physician decisions; multi-agent systems for the management of community healthcare; assistive wheelchair navigation; and more.

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.