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INTCare: On-line knowledge discovery in the intensive care unit
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| In our work aim to automate the knowledge discovery process. In this paper we present the INTCare system, an intelligent decision support system for intensive care medicine. INTCare is an agent based system that has (autonomous) agents responsible both for data acquisition and model updating thus reducing the need for human intervention. In the present, INTCare is predicting organ failure and probability of in-hospital death. Reliable prediction results facilitate a change from the current reactive behavior to a pro-active one thus enhancing the quality of service. The functional and structural aspects are presented as are some results obtained using data collected from the bedside monitors. | 199.21 KB | Adobe PDF |
Orientador(es)
Resumo(s)
In our work aim to automate the knowledge discovery process. In this paper we present the INTCare system, an intelligent decision support system for intensive care medicine. INTCare is an agent based system that has (autonomous) agents responsible both for data acquisition and model updating thus reducing the need for human intervention. In the present, INTCare is predicting organ failure and probability of in-hospital death. Reliable prediction results facilitate a change from the current reactive behavior to a pro-active one thus enhancing the quality of service. The functional and structural aspects are presented as are some results obtained using data collected from the bedside monitors.
Descrição
Article number 4924755, 2009 International Conference on Intelligent Engineering Systems, INES 2009, 16 April 2009 through 18 April 2009 - Code 77669
Palavras-chave
Medical diagnostic imaging Decision making Decision support systems Medical expert systems Intelligent systems Data acquisition Humans Quality of service Usability Databases
Contexto Educativo
Citação
P. Gago, C. Fernandes, F. Pinto and M. F. Santos, "INTCare: On-line knowledge discovery in the intensive care unit," 2009 International Conference on Intelligent Engineering Systems, Barbados, 2009, pp. 159-164, doi: https://doi.org/10.1109/INES.2009.4924755.
Editora
IEEE Canada
Licença CC
Sem licença CC