Abstract
Clinical research often is based on matching of identical patterns in patient courses. The LTX system is designed to support clinical research and decisions for the post-operative care of liver transplant patients by identifying “similar” patient courses. The basic idea is a frame representation of each day in a patient’s course including historical information. On top of this we constructed a time oriented language to represent clinical concepts like “high bilirubin level over 4 days”.
The system is implemented on a PC, where an integration into the hospital information system is essential (identification via MHH-identification number, connection to the lab computer to get the patients’ lab data, etc.).
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© 1987 Springer-Verlag Berlin Heidelberg
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Tusch, G.M., Bernauer, J., Reichertz, P.L. (1987). Matching Patients: An Approach for Decision Support in Liver Transplantation. In: Fox, J., Fieschi, M., Engelbrecht, R. (eds) AIME 87. Lecture Notes in Medical Informatics, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-95549-5_4
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DOI: https://doi.org/10.1007/978-3-642-95549-5_4
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