Author: Li, Raymond; Hoque, Enamul; Carenini, Giuseppe; Lester, Richard; Science, Raymond Chau Department of Computer; Columbia, University of British; Technology, School of Information; University, York; Medicine, Department of
Title: ConVIScope: Visual Analytics for Exploring Patient Conversations Cord-id: fow9xxty Document date: 2021_8_30
ID: fow9xxty
Snippet: 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
Document: 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.
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