Peter J.F. Lucas, Nicolette C. de Bruijn, Karin Schurink, Andy Hoepelman  Home/Search
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Abstract: The medical community is presently in a state of transition from a situation dominated by the paper medical record to a future situation where all patient data will be available on-line by an electronic clinical information system. In data-intensive clinical environments, such as intensive care units (ICUs), clinical patient data are already fully managed by such systems in a number of hospitals. However, providing facilities for storing and retrieving patient data to clinicians is not enough;... (Update)
Context of citations to this paper: More
.... clinicians in the diagnosis and selection of antibiotic treatment for patients with pneumonia in the ICU is taken as a running example [5]. 2 Modelling Developing a model of a realistic medical problem is usually far from easy, and using Bayesian networks yields no exception...
...day practice is also rendered less large. Within three of four ICUs in the University Medical Centre Utrecht a clinical information system (C2000, sold by the Eclipsys corporation) is used to collect the data generated by the medical equipment connected to the patient, as...
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BibTeX entry: (Update)
P.J.F. Lucas, N.C. de Bruijn, K. Schurink, and I.M. Hoepelman. A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU. Artificial Intelligence in Medicine, vol. 19, 2000, pp. 251 -- 279. http://citeseer.ist.psu.edu/lucas00probabilistic.html More
@article{ lucas00probabilistic,
author = "Peter J. F. Lucas and Nicolette de Bruijn and Karin Schurink and Andy Hoepelman",
title = "A probabilistic and decision-theoretic approach to the management of infectious disease at the {ICU}",
journal = "Artificial Intelligence in Medicine",
volume = "19",
number = "3",
pages = "251-279",
year = "2000",
url = "citeseer.ist.psu.edu/lucas00probabilistic.html" }
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