Posted Tue, Jul, 16,2013
Published today in Biomedical Informatics Insights is a new original research article by Christine Howes, Matthew Purver and Rose McCabe. Read more about this paper below:
Title
Using Conversation Topics for Predicting Therapy Outcomes in Schizophrenia
Abstract
Previous research shows that aspects of doctor-patient communication in therapy can predict patient symptoms, satisfaction and future adherence to treatment (a significant problem with conditions such as schizophrenia). However, automatic prediction has so far shown success only when based on low-level lexical features, and it is unclear how well these can generalize to new data, or whether their effectiveness is due to their capturing aspects of style, structure or content. Here, we examine the use of topic as a higher-level measure of content, more likely to generalize and to have more explanatory power. Investigations show that while topics predict some important factors such as patient satisfaction and ratings of therapy quality, they lack the full predictive power of lower-level features. For some factors, unsupervised methods produce models comparable to manual annotation.
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Thu 08 Oct, 2015
Published This Week (5th - 9th October)Thu 08 Oct, 2015
Biomarker Insights Paper Endorsed by Editor in ChiefWed 07 Oct, 2015
Interview with Professor Jamie DaviesI have had the honor to work with the professional team at Bioinformatics and Biology Insights. The reviewers' recommendations were very interesting and I am satisfied of the article quality. I encourage scientists to submit their work to Libertas Academica.
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