Abstract

PORTELA, Carlos Filipe da Silva et al. Real-Time Intelligent Decision Support and Monitoring System of Critical Patients. Port J Public Health [online]. 2017, vol.35, n.3, pp.34-47. ISSN 2504-3137.  https://doi.org/10.1159/000486146.

Intensive care units are places where patients' vital signs are continuously monitored and recorded alongside a multiplicity of clinical parameters. The main goal of this work is to study and develop an intelligent system to promote new decision-making knowledge crucial to provide better treatment to the patient. This article presents the achieved goals; in particular, the system developed for monitoring the clinical data and, using data mining technologies, for predicting clinical events with great sensitivity (90–100%), including organ failure probability, readmissions, and sepsis.

Keywords : Sistemas de apoio à decisão inteligentes; Aprendizagem automática em tempo-real; Medicina intensiva; Data mining.

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