ConVIScope: Visual Analytics for Exploring Patient Conversations
Autor: | Li, Raymond, Hoque, Enamul, Carenini, Giuseppe, Lester, Richard, Chau, Raymond |
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Rok vydání: | 2021 |
Předmět: | |
Druh dokumentu: | Working Paper |
Popis: | 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. Comment: 5 pages, 3 figures, accepted as short paper at IEEE VIS 2021 |
Databáze: | arXiv |
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