English

ConVIScope: Visual Analytics for Exploring Patient Conversations

Human-Computer Interaction 2021-09-01 v1 Computation and Language
Authors: Raymond Li , Enamul Hoque , Giuseppe Carenini , Richard Lester , Raymond Chau
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Abstract

The proliferation of text messaging for mobile health is generating a large amount of patient-doctor conversations that can be extremely valuable to health care professionals. We present ConVIScope, a visual text analytic system that tightly integrates interactive visualization with natural language processing in analyzing patient-doctor conversations. ConVIScope was developed in collaboration with healthcare professionals following a user-centered iterative design. Case studies with six domain experts suggest the potential utility of ConVIScope and reveal lessons for further developments.

Keywords

visualization clinical natural language processing image processing

Cite

@article{arxiv.2108.13514,
  title  = {ConVIScope: Visual Analytics for Exploring Patient Conversations},
  author = {Raymond Li and Enamul Hoque and Giuseppe Carenini and Richard Lester and Raymond Chau},
  journal= {arXiv preprint arXiv:2108.13514},
  year   = {2021}
}

Comments

5 pages, 3 figures, accepted as short paper at IEEE VIS 2021

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R2 v1 2026-06-24T05:32:45.078Z