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020 _a9783662562918
024 7 _a10.1007/978-3-662-56291-8
_2doi
040 _aES-MaUEC
_bspa
050 4 _aRA645.D5 2018 EB
100 1 _aParanjape, Raman.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/n2009182260
_1http://viaf.org/viaf/104795474/
245 1 4 _aThe Diabetic Patient Agent
_bModeling Disease in Humans and the Healthcare System Response
_cby Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill.
264 1 _aBerlin, Heidelberg
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XIV, 123 páginas 81 ilustraciones, 74 ilustraciones a color.)
347 _atext file
_bPDF
490 0 _aIntelligent Systems Reference Library,
_x1868-4394
_v133
505 0 _aIntroduction.- Agent-based Modeling and Simulation.- The Ackerman Mathematical Model.- Patient-physician interaction model.- Simulation Results.- Control patient Agent Model -- Self Aware patient Agent Model -- Blood Glucose Monitoring Frequency Evaluation.- Conclusions and future work.
520 3 _aThis 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.
650 7 _aDiabetes
_9138582
650 7 _aInteligencia artificial
_2embne
_9413115
650 7 _aIngeniería biomédica
_9143820
700 1 _aWang, Zhanle (Gerald).
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aGill, Simerjit.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iEdición impresa:
_z9783662562895
776 0 8 _iEdición impresa:
_z9783662562901
776 0 8 _iEdición impresa:
_z9783662572597
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-662-56291-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490 0 _aEngineering (Springer-11647)
988 _aEBSPRINGER_2018
998 _b12/2018
_dz
_ea
_feng
_ggw
_h0
999 _c102188
_d102188
_x1