| 000 | 04298nam a22006255i 4500 | ||
|---|---|---|---|
| 999 | _c12782 _d12782 | ||
| 001 | 978-3-662-56291-8 | ||
| 003 | DE-He213 | ||
| 005 | 20211217102358.0 | ||
| 008 | 171230s2018 gw | s |||| 0|eng d | ||
| 020 | _a9783662562918 | ||
| 040 | _cAIKTC-KRRC | ||
| 041 | _aENG | ||
| 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 | |
| 245 | 1 | 4 | _a Diabetic Patient Agent _h[electronic resource] : _bModeling Disease in Humans and the Healthcare System Response / | 
| 250 | _a1st ed. 2018. | ||
| 264 | 1 | _aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2018. | |
| 300 | _aXIV, 123 p. 81 illus., 74 illus. in color. _bCard Paper | ||
| 336 | _atext _btxt _2rdacontent | ||
| 337 | _acomputer _bc _2rdamedia | ||
| 338 | _aonline resource _bcr _2rdacarrier | ||
| 347 | _atext file _bPDF _2rda | ||
| 490 | 1 | _aIntelligent Systems Reference Library, _x1868-4394 ; _v133 | |
| 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 | _aComputer Engineering _94622 | |
| 653 | _aBiomedical Engineering and Bioengineering. | ||
| 653 | _aArtificial Intelligence. | ||
| 653 | _aHealth Administration. | ||
| 700 | 1 | _aWang, Zhanle (Gerald). _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | _aGill, Simerjit. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | _aSpringerLink (Online service) | |
| 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, _x1868-4394 ; _v133 | |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-662-56291-8 _zClick here to access eBook in Springer Nature platform. (Within Campus only.) | 
| 942 | _cEBOOKS _2ddc | ||