Analysing Dialogue for Diagnosis and Prediction in Mental Health

author: Matthew Purver, School of Electronic Engineering and Computer Science, Queen Mary, University of London
published: Jan. 9, 2018,   recorded: December 2017,   views: 3817
released under terms of: Creative Commons Attribution (CC-BY)


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Conditions which affect our mental health often affect the way we use language; and treatment often involves linguistic interaction. This talk will present work on three related projects investigating the use of computational natural language processing (NLP) to help understand and improve diagnosis and treatment for such conditions. We will look at clinical dialogue between patient and doctor or therapist, in cases involving schizophrenia, depression and dementia; in each case, we find that diagnostic information and/or treatment outcomes are related to observable features of a patient's language and interaction with their conversational partner. We discuss the nature of these phenomena and the suitability and accuracy of NLP techniques for detecting them automatically.

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Comment5 James, November 4, 2021 at 3:41 p.m.:

Hello! Thank you for this interesting lecture. I had to limit my news exposure a lot. It was only increasing my anxiety and I got sick from it. I already suffer from generalized anxiey and is very sensitive as a person. All the terrible and sad news, forums etc. just got too much, resulting in high levels of unhealthy stress and many physical unpleasant symptoms. (It was very bad for my mental health as well) Now I feel better and calmer, and is no longer in a constant state of fear🙏I can’t change what’s happening in the world, but how I respond to it. I follow the advice that are given, stays informed(but not from tabloids) and try to make the most out of my days at home. I try to control what I can, and lean into the good stuff that remains. I don’t wanna be a victim of fear and panic anymore😕Hopefully this too shall pass. Stay safe everyone💙We are in this together. Thanks for posting!

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