CrossCheck: toward passive sensing and detection of mental health changes in people with schizophrenia

Scherer, Emily A., Tseng, Vincent W. S., Ben-Zeev, Dror, Aung, Min S. H., Abdullah, Saeed, Brian, Rachel, Campbell, Andrew T., Choudhury, Tanzeem, Hauser, Marta, Kane, John and Merrill, Michael (2016) CrossCheck: toward passive sensing and detection of mental health changes in people with schizophrenia. In: 2016 ACM International Joint Conference, 2016-09-12 - 2016-09-16.

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Abstract

Early detection of mental health changes in individuals with serious mental illness is critical for effective intervention. CrossCheck is the first step towards the passive monitoring of mental health indicators in patients with schizophrenia and paves the way towards relapse prediction and early intervention. In this paper, we present initial results from an ongoing randomized control trial, where passive smartphone sensor data is collected from 21 outpatients with schizophrenia recently discharged from hospital over a period ranging from 2-8.5 months. Our results indicate that there are statistically significant associations between automatically tracked behavioral features related to sleep, mobility, conversations, smartphone usage and self-reported indicators of mental health in schizophrenia. Using these features we build inference models capable of accurately predicting aggregated scores of mental health indicators in schizophrenia with a mean error of 7.6% of the score range. Finally, we discuss results on the level of personalization that is needed to account for the known variations within people. We show that by leveraging knowledge from a population with schizophrenia, it is possible to train accurate personalized models that require fewer individual-specific data to quickly adapt to new users

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Colour and Imaging Lab Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre
Related URLs:	http://dl.acm.org/citation.cfm?doid=2971...
Depositing User:	LivePure Connector
Date Deposited:	17 Oct 2019 15:30
Last Modified:	18 Oct 2024 23:32
URI:	https://ueaeprints.uea.ac.uk/id/eprint/72676
DOI:	10.1145/2971648.2971740

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