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Case-Based Reasoning for Antibiotics Therapy Advice
Case-Based Reasoning for Antibiotics Therapy Advice
Rainer Schmidt a), Bernhard Pollwein b), Lothar Gierl a)
a) Institut für Medizinische Informatik und Biometrie, Universit?t Rostock
Rembrandtstr. 16 / 17, D-18055 Rostock, Germany
Email: {rainer.schmidt , lothar.gierl} @medizin.uni-rostock.de
b) Institut für An?sthesiologie, Ludwig-Maximilians Universit?t München
Marchioninistr. 15, D-81377 München, Germany
Abstract
In this paper, we describe case-based techniques in a medical application. We
have developed a prototype of an antibiotics therapy adviser within the ICONS
project, where the main advantage of applying CBR techniques is to speed-up the
process of computing advisable therapies. However, some adaptations do not
really belong to the Case-Based Reasoning paradigm though information from
former cases is considered. They deal with rather typical medical tasks, namely
modifications due to information updates. In our incrementally working system
we have attempted to solve the problem of the continuously increasing number
of stored cases by generalising from specific single cases to more general
prototypes and by subsequently erasing redundant cases. Here we present results
of experiments with threshold settings for our prototype architecture. The results
show that the chosen design, which has mainly been founded on experiences
with diagnostic applications, is not only advantageous for this therapeutic task,
but that it contains a slight drawback as well.
1. Introduction
Severe bacterial infections are still a life threatening complication in intensive care
medicine correlated with a high mortality [1]. Identification of bacterial pathogens is often
difficult. It normally requires at least 24 hours to identify the pathogen that is responsible
for an infection and at least another 24 hours to find out which antibiotics have therapeutic
effects against the identified pathogen. To not endanger the patient, physicians often have
to start an antimicrobial therapy be
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