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Discovering Medical Knowledge from Data in Patients’ Files

  • Magdalena Szymkowiak
  • Beata Jankowska
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5796)

Abstract

An Individual Patient’s File (IPF) includes information about a patient and the course of his illness over many years. During this period, the doctor, taking permanent care of the patient, puts various data and observations into his IPF. In the paper we propose a kind of probabilistic and statistical analysis of the data stored in collections of IPFs. The collections can be made accessible by means of a medical Semantic Web. The proposed analysis requires the data to be expressed in the form of Bernoulli variables. As a result, it gives us medical hypotheses, with their premises-facts, conclusions and reliabilities. They can be presented in the form of production rules, used in medical Rule-Based Systems for automatic reasoning.

Keywords

individual patient’s file Bernoulli variable conditional probability statistical analysis medical rule-based system 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Magdalena Szymkowiak
    • 1
  • Beata Jankowska
    • 2
  1. 1.Institute of MathematicsPoznań University of TechnologyPoznańPoland
  2. 2.Institute of Control and Information EngineeringPoznańPoland

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