English

CREATe: Clinical Report Extraction and Annotation Technology

Computation and Language 2021-03-02 v1 Machine Learning

Abstract

Clinical case reports are written descriptions of the unique aspects of a particular clinical case, playing an essential role in sharing clinical experiences about atypical disease phenotypes and new therapies. However, to our knowledge, there has been no attempt to develop an end-to-end system to annotate, index, or otherwise curate these reports. In this paper, we propose a novel computational resource platform, CREATe, for extracting, indexing, and querying the contents of clinical case reports. CREATe fosters an environment of sustainable resource support and discovery, enabling researchers to overcome the challenges of information science. An online video of the demonstration can be viewed at https://youtu.be/Q8owBQYTjDc.

Keywords

Cite

@article{arxiv.2103.00562,
  title  = {CREATe: Clinical Report Extraction and Annotation Technology},
  author = {Yichao Zhou and Wei-Ting Chen and Bowen Zhang and David Lee and J. Harry Caufield and Kai-Wei Chang and Yizhou Sun and Peipei Ping and Wei Wang},
  journal= {arXiv preprint arXiv:2103.00562},
  year   = {2021}
}

Comments

7 Figures, ICDE 2021 Demo

R2 v1 2026-06-23T23:35:24.444Z