000 03989nam a22006375i 4500
001 978-3-662-56291-8
003 DE-He213
005 20220801215818.0
007 cr nn 008mamaa
008 171230s2018 gw | s |||| 0|eng d
020 _a9783662562918
_9978-3-662-56291-8
024 7 _a10.1007/978-3-662-56291-8
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aParanjape, Raman.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_946594
245 1 4 _aThe Diabetic Patient Agent
_h[electronic resource] :
_bModeling Disease in Humans and the Healthcare System Response /
_cby Raman Paranjape, Zhanle (Gerald) Wang, Simerjit Gill.
250 _a1st ed. 2018.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2018.
300 _aXIV, 123 p. 81 illus., 74 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_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 _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 0 _aComputational intelligence.
_97716
650 0 _aDiseases.
_941350
650 0 _aBiomedical engineering.
_93292
650 0 _aArtificial intelligence.
_93407
650 0 _aMedical informatics.
_94729
650 0 _aPublic health administration.
_938776
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aDiseases.
_941350
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aHealth Informatics.
_931799
650 2 4 _aHealth Administration.
_938779
700 1 _aWang, Zhanle (Gerald).
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_946595
700 1 _aGill, Simerjit.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_946596
710 2 _aSpringerLink (Online service)
_946597
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662562895
776 0 8 _iPrinted edition:
_z9783662562901
776 0 8 _iPrinted edition:
_z9783662572597
830 0 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v133
_946598
856 4 0 _uhttps://doi.org/10.1007/978-3-662-56291-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77887
_d77887