Abstract
This paper describes the first steps of development of a rule-based system that automatically processes medical records in order to discover possible cases of hospital acquired infections (HAI). The system takes as input a set of patient records in electronic format and gives as output, for each document, information regarding HAI. In order to achieve this goal, a temporal processing together with a deep syntactic and semantic analysis of the patient records is performed. Medical knowledge used by the rules is derived from a set of documents that have been annotated by medical doctors. After a brief description of the context of this work, we present the general architecture of our document processing chain and explain how we perform our temporal and linguistic analysis. Finally, we report our preliminary results and we lay out the next steps of the project.
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Hagège, C., Marchal, P., Gicquel, Q., Darmoni, S., Pereira, S., Metzger, MH. (2011). Linguistic and Temporal Processing for Discovering Hospital Acquired Infection from Patient Records. In: Riaño, D., ten Teije, A., Miksch, S., Peleg, M. (eds) Knowledge Representation for Health-Care. KR4HC 2010. Lecture Notes in Computer Science(), vol 6512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18050-7_6
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DOI: https://doi.org/10.1007/978-3-642-18050-7_6
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