Generation of Natural-Language Textual Summaries from Longitudinal Clinical Records

@article{Goldstein2015GenerationON,
  title={Generation of Natural-Language Textual Summaries from Longitudinal Clinical Records},
  author={Ayelet Goldstein and Yuval Shahar},
  journal={Studies in health technology and informatics},
  year={2015},
  volume={216},
  pages={
          594-8
        }
}
Physicians are required to interpret, abstract and present in free-text large amounts of clinical data in their daily tasks. This is especially true for chronic-disease domains, but holds also in other clinical domains. We have recently developed a prototype system, CliniText, which, given a time-oriented clinical database, and appropriate formal abstraction and summarization knowledge, combines the computational mechanisms of knowledge-based temporal data abstraction, textual summarization… CONTINUE READING

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