Abstract
Acute pulmonary and systemic disorders occur in mechanically ventilated intensive care patients frequently enough to be of concern. We selected twelve routinely monitored parameters in order to detect certain of these acute disorders (specifically, pneumothorax, pulmonary embolism, ARDS, and sepsis) before they lead to obvious clinical distress. A systematic approach to early detection utilizing changes in the twelve parameters was developed using the sequential Bayesian method. Fifty patients were monitored over a period of one to several days. Six of these patients developed one of the four disorders under study as determined by conventional diagnostic means, such as by x-ray. An examination of the records of these six patients over the time period prior to the actual diagnosis showed that the disorders of three of these six would have been predicted by our Bayesian approach.
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© 1991 Springer-Verlag Berlin Heidelberg
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Fraser, R.B., Turney, S.Z. (1991). A Bayesian Approach to the Detection of Acute Disorders in a Respiratory Intensive Care Unit. In: Adlassnig, KP., Grabner, G., Bengtsson, S., Hansen, R. (eds) Medical Informatics Europe 1991. Lecture Notes in Medical Informatics, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93503-9_47
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DOI: https://doi.org/10.1007/978-3-642-93503-9_47
Publisher Name: Springer, Berlin, Heidelberg
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