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Autor(en): 
  • Raman Paranjape
  • Zhanle (Gerald) Wang
  • Simerjit Gill
  • The Diabetic Patient Agent: Modeling Disease in Humans and the Healthcare System Response 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Januar 2018  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Artificial Intelligence / B / Biomedical engineering / Biomedical Engineering and Bioengineering / Computational Intelligence / Computer applications in industry and technology / Diabetes / engineering / Health Administration / Health Informatics / Information technology# general issues / INTERNAL MEDICINE / Medical administration & management / Medical administration and management / Medical equipment & techniques
    ISBN:  9783662562895 
    EAN-Code: 
    9783662562895 
    Verlag:  Springer Nature EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #133 - Intelligent Systems Reference Library  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  418 gr 
    Seiten:  123 
    Illustration:  XIV, 123 p. 81 illus., 74 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book provides a pioneering approach to modeling the human diabetic patient using a software agent. It is based on two MASc (Master of Applied Science) theses: one looking at the evolution of the patient agent in time, and another looking the interaction of the patient agent with the healthcare system. It shows that the software agent evolves in a manner analogous to the human patient and exhibits typical attributes of the illness such as reacting to food consumption, medications, and activity. This agent model can be used in a number of different ways, including as a prototype for a specific human patient with the purpose of helping to identify when that patient's condition deviates from normal variations. The software agent can also be used to study the interaction between the human patient and the health care system. This book is of interest to anyone involved in the management of diabetic patients or in societal research into the management of diabetes. The diabetic patient agent was developed using the Ackerman model for diabetes, but this model can be easily adapted for any other model subject with the necessary physiological data to support that model.

      
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