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Information Retrieval System for Medical Narrative Reports

  • Lior Rokach
  • Oded Maimon
  • Mordechai Averbuch
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3055)

Abstract

This paper presents a novel information retrieval system designed specifically for medical case finding applications. The proposed system begins by extracting medical information from free-text narrative reports and storing it in a predefined relational clinical data mart. The extraction is performed using a medical thesaurus and a regular expression pattern match. Following the extraction phase, inclusion/exclusion criteria are provided to the system using a physician-friendly user interface. The system converts the entered criteria into a single SQL command which can be then executed on the relational data mart. In order to achieve the appropriate response time required for on-line analysis, the system implements several caching mechanisms. The proposed system has been examined on real-world database. The performance of the system has been compared to the results obtained manually by a physician. The comparison indicates that the proposed system can be used for non-critical case-finding applications such as: finding appropriate patients for clinical trials.

Keywords

Regular Expression Information Retrieval System Medical Concept Sentence Boundary Data Mart 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Lior Rokach
    • 1
  • Oded Maimon
    • 1
  • Mordechai Averbuch
    • 2
  1. 1.Department of Industrial EngineeringTel-Aviv UniversityTel-AvivIsrael
  2. 2.Tel-Aviv Sourasky Medical Center and Faculty of MedicineTel-Aviv UniversityTel-AvivIsrael

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