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Understanding clinical narrative text

S S el-Gamal1, M M Esmail

  • 1Department of Computer and Information Science, Cairo University, Giza, Egypt.

Medical Informatics = Medecine Et Informatique
|April 1, 1995
PubMed
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This study analyzed urology patient documents, revealing linguistic patterns in disease diagnoses. A C language recognizer was developed to identify these diagnoses for improved database management.

Area of Science:

  • Medical Informatics
  • Computational Linguistics
  • Natural Language Processing

Background:

  • Clinical narratives in urology contain valuable patient information.
  • Analyzing the linguistic structure of these narratives can reveal patterns.
  • Understanding these patterns is key to automated information extraction.

Purpose of the Study:

  • To analyze the linguistic characteristics of urology patient narratives.
  • To develop a computational method for recognizing disease diagnoses within these narratives.
  • To facilitate database management and computerized information processing.

Main Methods:

  • Linguistic analysis of semantic statement types and syntactic combinations.
  • Identification of regular grammatical rules in clinical diagnosis wording.

Related Experiment Videos

  • Implementation of a disease diagnosis recognizer using the C programming language.

    • Main Results:

    • Urology patient narratives exhibit a limited set of semantic statement types.
    • Regular grammatical rules govern the combination of medical and English word classes in diagnoses.
    • A C-based recognizer was successfully developed to identify disease diagnoses.

    Conclusions:

    • The linguistic regularity in clinical narratives supports automated diagnosis recognition.
    • The developed recognizer can extract diagnostic information for database systems.
    • This approach enhances computerized processing of clinical data in urology.