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Identifying Language Features Associated With Needs of Ovarian Cancer Patients and Caregivers Using Social Media.
Cancer Nurs
April 2022
Author Affiliations: School of Nursing (Drs Lee, Campbell, Thomas, and Donovan) and School of Medicine (Drs Lee and Donovan), University of Pittsburgh, Pennsylvania; Department of Computer Science, University of British Columbia (Drs Jang and Carenini), Vancouver, Canada; and School of Health and Rehabilitation Sciences, University of Pittsburgh (Dr Campbell), Pennsylvania.
Background: Online health communities (OHCs) can be a source for clinicians to learn the needs of cancer patients and caregivers. Ovarian cancer (OvCa) patients and caregivers deal with a wide range of unmet needs, many of which are expressed in OHCs. An automated need classification model could help clinicians more easily understand and prioritize information available in the OHCs.
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