| 书目名称 | The Diabetic Patient Agent |
| 副标题 | Modeling Disease in |
| 编辑 | Raman Paranjape,Zhanle (Gerald) Wang,Simerjit Gill |
| 视频video | |
| 概述 | Helps diabetic patients predict their blood sugar level based on their lifestyle.Provides tools to evaluate and examine effects of various medical interventions, lifestyles, and frequency of blood sug |
| 丛书名称 | Intelligent Systems Reference Library |
| 图书封面 |  |
| 描述 | 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.. |
| 出版日期 | Book 2018 |
| 关键词 | Agent-based Modelling; Diabetic Patient Model; Health-care Modelling and Simulation; Hospital Planning; |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-662-56291-8 |
| isbn_softcover | 978-3-662-57259-7 |
| isbn_ebook | 978-3-662-56291-8Series ISSN 1868-4394 Series E-ISSN 1868-4408 |
| issn_series | 1868-4394 |
| copyright | Springer-Verlag GmbH Germany 2018 |
发表于 2025-3-21 18:20:17
