An automated knowledge-based textual summarization system for longitudinal, multivariate clinical data.

Journal: Journal of biomedical informatics
Published Date:

Abstract

OBJECTIVES: Design and implement an intelligent free-text summarization system: The system's input includes large numbers of longitudinal, multivariate, numeric and symbolic clinical raw data, collected over varying periods of time, and in different complex contexts, and a suitable medical knowledge base. The system then automatically generates a textual summary of the data. We aim to prove the feasibility of implementing such a system, and to demonstrate its potential benefits for clinicians and for enhancement of quality of care.

Authors

  • Ayelet Goldstein
    Medical Informatics Research Center, Department of Information Systems Engineering, Ben Gurion University of the Negev, Beer Sheva, Israel.
  • Yuval Shahar
    Medical Informatics Research Center, Department of Information Systems Engineering, Ben Gurion University of the Negev, Beer Sheva, Israel.