Clinical conversations are information-dense sources of clinical data. This project leverages audio-recordings of more than 350 palliative care consultations from the Palliative Care Communication Research Initiative to develop automated Natural Language Processing methods for measuring fundamental features of palliative care conversations, beginning with expressions of uncertainty, prognosis, and emotion.
Funders: Holly & Bob Miller Endowed Chair in Palliative Medicine, University of Vermont College of Engineering, University of Vermont Department of Family Medicine
Project Team: Lindsay Ross, Laura Hirsch, Bennet Cazayoux, Larry Clarfeld, Bridger Banco, Brigitte Durieux, Cailin Gramling, Christopher Danforth, Donna Rizzo, Maggie Eppstein, Bob Gramling
Student Theses and Dissertations:
- "Exploration of StoryArcs in Palliative Care Conversations using Natural Language Processing" Lindsay Ross (Honor's Thesis, University of Vermont Department of Computer Science)