UMAP - A Universal Multi-Agent Platform for .NET Developers

Mrozek, Dariusz; Waligóra, Igor

doi:10.1007/978-3-319-06932-6_29

Cited by 3 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The UMAP is a FIPA compliant multi agent based framework providing interfaces for multi agent systems implementation. UMAP can be extended to implement custom agent based solutions and is based on .Net Framework ( 18 , 19 ). In this research, we used the UMAP platform to implement our multi agent based high-risk neonate management architecture.…”

Section: Introductionmentioning

confidence: 99%

An agent based architecture for high-risk neonate management at neonatal intensive care unit

et al. 2018

View full text Add to dashboard Cite

BackgroundIn recent years, the use of new tools and technologies has decreased the neonatal mortality rate. Despite the positive effect of using these technologies, the decisions are complex and uncertain in critical conditions when the neonate is preterm or has a low birth weight or malformations. There is a need to automate the high-risk neonate management process by creating real-time and more precise decision support tools.ObjectiveTo create a collaborative and real-time environment to manage neonates with critical conditions at the NICU (Neonatal Intensive Care Unit) and to overcome high-risk neonate management weaknesses by applying a multi agent based analysis and design methodology as a new solution for NICU management.MethodsThis study was a basic research for medical informatics method development that was carried out in 2017. The requirement analysis was done by reviewing articles on NICU Decision Support Systems. PubMed, Science Direct, and IEEE databases were searched. Only English articles published after 1990 were included; also, a needs assessment was done by reviewing the extracted features and current processes at the NICU environment where the research was conducted. We analyzed the requirements and identified the main system roles (agents) and interactions by a comparative study of existing NICU decision support systems. The Universal Multi Agent Platform (UMAP) was applied to implement a prototype of our multi agent based high-risk neonate management architecture.ResultsLocal environment agents interacted inside a container and each container interacted with external resources, including other NICU systems and consultation centers. In the NICU container, the main identified agents were reception, monitoring, NICU registry, and outcome prediction, which interacted with human agents including nurses and physicians.ConclusionManaging patients at the NICU units requires online data collection, real-time collaboration, and management of many components. Multi agent systems are applied as a well-known solution for management, coordination, modeling, and control of NICU processes. We are currently working on an outcome prediction module using artificial intelligence techniques for neonatal mortality risk prediction. The full implementation of the proposed architecture and evaluation is considered the future work.

show abstract

Section: Introductionmentioning

confidence: 99%

An agent based architecture for high-risk neonate management at neonatal intensive care unit

et al. 2018

View full text Add to dashboard Cite

show abstract

“…However, it is complicated or even impossible to add the control in these applications. Therefore, very often modeling of control systems is performed in Matlab environment with Simulink module [3][4][5][6]. Other alternative, but rarely used method of visualization and control of movements of the working machines [7,8], may be the Python programming language with appropriate libraries [9].…”

Section: Introductionmentioning

confidence: 99%