PPAT: Predicting Patient Adherence to Treatment from Dialogue Transcripts
Staff: Matthew Purver (PI), Rose McCabe (CoI), Christine Howes
Timescale: 1st January 2012 - 30th June 2012
Funding body: EPSRC (via college Pump-Priming programme)
EPSRC grant reference: EP/J501360/1
QMUL account number: ECSA1G9R
Christine Howes, Matthew Purver, Rose McCabe. Investigating Topic Modelling for Therapy Dialogue Analysis. To appear in the Computational Semantics in Clinical Text workshop at IWCS, Potsdam, March 2013.
(Invited Talk) Matthew Purver and PPAT project colleagues. Language and Outcome Prediction in Patient-Clinician Dialogues. Invited talk, Language & Cognition research seminar, King's College London, December 2012.
Christine Howes, Matthew Purver, Rose McCabe, Patrick Healey and Mary Lavelle. Helping the Medicine Go Down: Repair and Adherence in Patient-Clinician Dialogues. Poster, in SemDial 2012 (SeineDial), Paris, September 2012.
Christine Howes, Matthew Purver, Rose McCabe, Patrick Healey and Mary Lavelle. Predicting Adherence to Treatment for Schizophrenia from Dialogue Transcripts. In Proceedings of the SIGDIAL 2012 Conference, Seoul, July 2012.
(Invited Talk) Matthew Purver and PPAT project colleagues. Helping the medicine go down? Repair and adherence in patient-clinician dialogues. Invited talk, NLIP Group, Computer Laboratory, University of Cambridge, May 2012.
Repair Annotation - How to
PPATProjectMeeting2012-03-01 and Laura's IMC seminar