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ConVIScope : Visual Analytics for Exploring Patient Conversations Li, Raymond; Hoque, Enamul; Carenini, Giuseppe; Lester, Richard T.; Chau, Raymond
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.
Item Metadata
Title |
ConVIScope : Visual Analytics for Exploring Patient Conversations
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Creator | |
Date Issued |
2021
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Description |
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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Subject | |
Genre | |
Type | |
Language |
eng
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Date Available |
2022-01-19
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution 4.0 International
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DOI |
10.14288/1.0406303
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URI | |
Affiliation | |
Publisher DOI |
10.1109/VIS49827.2021.00038
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Peer Review Status |
Reviewed
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Scholarly Level |
Faculty
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Copyright Holder |
IEEE
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution 4.0 International