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Using Domain Knowledge to Improve Intelligent Decision Support in Intensive Medicine - A Study of Bacteriological Infections .

, , , , , , and . ICAART (2), page 582-587. SciTePress, (2015)

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Knowledge Discovery for Pervasive and Real-time Intelligent Decision Support in Intensive Care Medicine., , , , , , , and . KMIS, page 241-249. SciTePress, (2011)Real-Time Predictive Analytics for Sepsis Level and Therapeutic Plans in Intensive Care Medicine., , , , , , and . Int. J. Heal. Inf. Syst. Informatics, 9 (3): 36-54 (2014)Improving Quality of Medical Service with Mobile Health Software., , , , , , , , and . EUSPN/ICTH, volume 63 of Procedia Computer Science, page 292-299. Elsevier, (2015)Patients' Admissions in Intensive Care Units: A Clustering Overview., , , , , and . Inf., 8 (1): 23 (2017)Intelligent Decision Support to Predict Patient Barotrauma Risk in Intensive Care Units., , , , , , and . CENTERIS/ProjMAN/HCist, volume 64 of Procedia Computer Science, page 626-634. Elsevier, (2015)Step Towards a Pervasive Data System for Intensive Care Medicine., , , , , and . WorldCIST (3), volume 747 of Advances in Intelligent Systems and Computing, page 352-362. Springer, (2018)Predicting Plateau Pressure in Intensive Medicine for Ventilated Patients., , , , , , and . WorldCIST (2), volume 354 of Advances in Intelligent Systems and Computing, page 179-188. Springer, (2015)Pervasive Patient Timeline for Intensive Care Units., , , , , , and . WorldCIST (2), volume 445 of Advances in Intelligent Systems and Computing, page 527-536. Springer, (2016)"Predicting Resurgery in Intensive Care - A data Mining Approach"., , , , and . EUSPN/ICTH, volume 113 of Procedia Computer Science, page 577-584. Elsevier, (2017)Towards an Intelligent Systems to Predict Nosocomial Infections in Intensive Care., , , and . FiCloud Workshops, page 150-155. IEEE Computer Society, (2017)