Ismael Bruck-Ramisch
2020
Annotating Patient Information Needs in Online Diabetes Forums
Julia Romberg
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Jan Dyczmons
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Sandra Olivia Borgmann
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Jana Sommer
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Markus Vomhof
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Cecilia Brunoni
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Ismael Bruck-Ramisch
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Luis Enders
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Andrea Icks
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Stefan Conrad
Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task
Identifying patient information needs is an important issue for health care services and implementation of patient-centered care. A relevant number of people with diabetes mellitus experience a need for information during the course of the disease. Health-related online forums are a promising option for researching relevant information needs closely related to everyday life. In this paper, we present a novel data corpus comprising 4,664 contributions from an online diabetes forum in German language. Two annotation tasks were implemented. First, the contributions were categorised according to whether they contain a diabetes-specific information need or not, which might either be a non diabetes-specific information need or no information need at all, resulting in an agreement of 0.89 (Krippendorff’s α). Moreover, the textual content of diabetes-specific information needs was segmented and labeled using a well-founded definition of health-related information needs, which achieved a promising agreement of 0.82 (Krippendorff’s αu). We further report a baseline for two sub-tasks of the information extraction system planned for the long term: contribution categorization and segment classification.
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Co-authors
- Julia Romberg 1
- Jan Dyczmons 1
- Sandra Olivia Borgmann 1
- Jana Sommer 1
- Markus Vomhof 1
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