INTCARE: multi-agent approach for real-time intelligent decision support in intensive medicine
For an Intelligent Decision Support System to work in real-time, it is of great value the use of intelligent agents that cooperate with each other to accomplish their tasks. In a critical environment like an Intensive Care Unit, doctors should have the right information, at the right time, to better...
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| Outros Autores: | , |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2011
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/15546 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/15546 |
| Resumo: | For an Intelligent Decision Support System to work in real-time, it is of great value the use of intelligent agents that cooperate with each other to accomplish their tasks. In a critical environment like an Intensive Care Unit, doctors should have the right information, at the right time, to better assist their patients. In this paper we present an architecture for a Multi-Agents System that will support doctors’ decision by in real-time, guaranteeing that all required clinical data is available and capable of predicting the patients’ condition for the next hour. |
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