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Network Analysis and Mobile Sensing for Behavioural Insights in Schizophrenia
Participants
Summary
The CrossCheck corpus, collected by Dr Hane Aung and colleagues at Cornell University and Dartmouth College, contains a wide range of smartphone elicited sensor data streams with mental wellbeing scores from a large population with Schizophrenia. In this project, the Health Technologies group has developed a novel framework to reveal clear associations between specific sensed behaviours with a holistic representation of symptom-based scores using Network Analysis. This approach has the potential to form the basis of individually tailored quantiative reporting of daily behaviours with the qualitative assessment of Schizophrenia.
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Partners
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Publications
[1] Davies, A., Fried, E., Costilla-Reyes, O., and Aung, H. 2023. Individual Behavioral Insights in Schizophrenia: A Network Analysis and Mobile Sensing Approach. In International Conference on Pervasive Computing Technologies for Healthcare (pp. 18–33).
[2] Wang, R., Aung, M., Abdullah, S., Brian, R., Campbell, A., Choudhury, T., Hauser, M., Kane, J., Merrill, M., Scherer, E., and others 2016. CrossCheck: toward passive sensing and detection of mental health changes in people with schizophrenia. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 886–897).
[3] Ben-Zeev, D., Brian, R., Wang, R., Wang, W., Campbell, A., Aung, M., Merrill, M., Tseng, V., Choudhury, T., Hauser, M., and others 2017. CrossCheck: Integrating self-report, behavioral sensing, and smartphone use to identify digital indicators of psychotic relapse. Psychiatric Rehabilitation Journal, 40(3), p.266.