Continuously monitoring schizophrenia patients' psychiatric symptoms is crucial for in-time intervention and treatment adjustment. The Brief Psychiatric Rating Scale (BPRS) is a survey administered by clinicians to evaluate symptom severity in schizophrenia. The CrossCheck symptom prediction system is capable of tracking schizophrenia symptoms as measured by BPRS using passive sensing from mobile phones. We present results from a randomized control trial, where passive sensing data, self-reports, and clinician administered 7-item BPRS surveys are collected from 36 outpatients with schizophrenia. We show that our system can predict a symptom scale score based on a 7-item BPRS within +1.45 error on average. Finally, we discuss how well our predictive system reflects symptoms experienced by patients by reviewing a case study.

References

[1]

Rui Wang, Weichen Wang, Min S. H. Aung, Dror Ben-Zeev, Rachel Brian, Andrew T. Campbell, Tanzeem Choudhury, Marta Hauser, John Kane, Emily A. Scherer, and Megan Walsh. 2017. "Predicting symptom trajectories of schizophrenia using mobile sensing." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). 1, 3, Article 110 (September 2017), 24 pages.

Digital Library

Google Scholar

[2]

D Ben-Zeev, R Brian, R Wang, W Wang, A T Campbell, M S Aung, M Merrill, V W Tseng, T Choudhury, M Hauser, and others. 2017. "CrossCheck: Integrating self-report, behavioral sensing, and smartphone use to identify digital indicators of psychotic relapse. Psychiatric Rehabilitation Journal (2017).

Google Scholar

[3]

Rui Wang, Min S.H. Aung, Saeed Abdullah, Rachel Brian, Andrew T. Campbell, Tanzeem Choudhury, Marta Hauser, John Kane, Michael Merrill, Emily A. Scherer, Vincent W. S. Tseng, and Dror Ben-Zeev. 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 (UbiComp '16). ACM, New York, NY, USA, 886-897.

Digital Library

Google Scholar

[4]

Saeed Abdullah, Mark Matthews, Ellen Frank, Gavin Doherty, Geri Gay, and Tanzeem Choudhury. 2016. "Automatic detection of social rhythms in bipolar disorder." Journal of the American Medical Informatics Association 23, 3 (2016), 538-543.

Crossref

Google Scholar

[5]

Dror Ben-Zeev, Gregory J McHugo, Haiyi Xie, Katy Dobbins, and Michael A Young. 2012. "Comparing retrospective reports to real-time/ real-place mobile assessments in individuals with schizophrenia and a nonclinical comparison group." Schizophrenia Bulletin 38, 3 (2012), 396-404.

Crossref

Google Scholar

[6]

Thomas C Chalmers, Harry Smith, Bradley Blackburn, Bernard Silverman, Biruta Schroeder, Dinah Reitman, and Alexander Ambroz. 1981. "A method for assessing the quality of a randomized control trial." Controlled Clinical Trials 2, 1 (1981), 31-49.

Crossref

Google Scholar

[7]

Nicholas D Lane, Mashfiqui Mohammod, Mu Lin, Xiao chao Yang, Hong Lu, Shahid Ali, Afsaneh Doryab, Ethan Berke, Tanzeem Choudhury, and Andrew Campbell. 2011. "Bewell: A smartphone application to monitor, model and promote well-being." In 5th International ICST Conference on Pervasive Computing Technologies for Healthcare. 23-26.

Google Scholar

[8]

Kung-Yee Liang and Scott L Zeger. 1986. "Longitudinal data analysis using generalized linear models." Biometrika 73, 1(1986), 13-22.

Crossref

Google Scholar

[9]

Jerome H. Friedman. 2001. "Greedy function approximation: A gradient boosting machine. The Annals of Statistics 29, 5 (2001), 1189-1232. http://www.jstor.org/stable/2699986

Crossref

Google Scholar

[10]

Nitesh V. Chawla, Kevin W Bowyer, Lawrence O. Hall, and W. Philip Kegelmeyer. 2002. "SMOTE: Synthetic minority over-sampling technique." Journal of Artificial Intelligence Research 16 (2002), 321-357.

Crossref

Google Scholar

[11]

Rui Wang, Fanglin Chen, Zhenyu Chen, Tianxing Li, Gabriella Harari, Stefanie Tignor, Xia Zhou, Dror Ben-Zeev, and Andrew T. Campbell. 2014. "StudentLife: Assessing mental health, academic Performance and behavioral trends of college students using smartphones." In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '14). ACM, New York, NY, 3-14.

Digital Library

Google Scholar

Cited By

View all

Yoo DWoo HNguyen VBirnbaum MKruzan KKim JAbowd GDe Choudhury M(2024)Patient Perspectives on AI-Driven Predictions of Schizophrenia Relapses: Understanding Concerns and Opportunities for Self-Care and TreatmentProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642369(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642369
Ianculescu MAlexandru AParaschiv E(2023)The Potential of the Remote Monitoring Digital Solutions to Sustain the Mental and Emotional Health of the Elderly during and Post COVID-19 Crisis in RomaniaHealthcare10.3390/healthcare1104060811:4(608)Online publication date: 17-Feb-2023
https://doi.org/10.3390/healthcare11040608
Nova FCoupe AMynatt EGuha SPater J(2022)Cultivating the CommunityProceedings of the ACM on Human-Computer Interaction10.1145/34928266:GROUP(1-33)Online publication date: 14-Jan-2022
https://dl.acm.org/doi/10.1145/3492826
Show More Cited By

Recommendations

Predicting Symptom Trajectories of Schizophrenia using Mobile Sensing

Continuously monitoring schizophrenia patients’ psychiatric symptoms is crucial for in-time intervention and treatment adjustment. The Brief Psychiatric Rating Scale (BPRS) is a survey administered by clinicians to evaluate symptom severity in ...
Mobile based symptom management for palliative care
Towards Understanding ICU Treatments Using Patient Health Trajectories
Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems
Abstract
Overtreatment or mistreatment of patients is a phenomenon commonly encountered in health care and especially in the Intensive Care Unit (ICU) resulting in increased morbidity and mortality. We explore the MIMIC-III intensive care unit database and ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image GetMobile: Mobile Computing and Communications

GetMobile: Mobile Computing and Communications Volume 22, Issue 2

June 2018

38 pages

ISSN:2375-0529

EISSN:2375-0537

DOI:10.1145/3276145

Editor:
Eyal de Lara
University of Toronto

Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 September 2018

Published in SIGMOBILE-GETMOBILE Volume 22, Issue 2

Check for updates

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

10
Total Citations
View Citations
335
Total Downloads

Downloads (Last 12 months)26
Downloads (Last 6 weeks)5

Reflects downloads up to 26 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Yoo DWoo HNguyen VBirnbaum MKruzan KKim JAbowd GDe Choudhury M(2024)Patient Perspectives on AI-Driven Predictions of Schizophrenia Relapses: Understanding Concerns and Opportunities for Self-Care and TreatmentProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642369(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642369
Ianculescu MAlexandru AParaschiv E(2023)The Potential of the Remote Monitoring Digital Solutions to Sustain the Mental and Emotional Health of the Elderly during and Post COVID-19 Crisis in RomaniaHealthcare10.3390/healthcare1104060811:4(608)Online publication date: 17-Feb-2023
https://doi.org/10.3390/healthcare11040608
Nova FCoupe AMynatt EGuha SPater J(2022)Cultivating the CommunityProceedings of the ACM on Human-Computer Interaction10.1145/34928266:GROUP(1-33)Online publication date: 14-Jan-2022
https://dl.acm.org/doi/10.1145/3492826
Gutierrez LRabbani KAjayi OGebresilassie SRafferty JCastro LBanos O(2021)Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity ManagementInternational Journal of Environmental Research and Public Health10.3390/ijerph1803132718:3(1327)Online publication date: 1-Feb-2021
https://doi.org/10.3390/ijerph18031327
Gooding PKariotis T(2021)Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping ReviewJMIR Mental Health10.2196/246688:6(e24668)Online publication date: 10-Jun-2021
https://doi.org/10.2196/24668
Mao SKhalifa YZhang ZShu KSuri ABouzid ZSejdic E(2021)Ubiquitous computingDigital Health10.1016/B978-0-12-818914-6.00002-8(211-230)Online publication date: 2021
https://doi.org/10.1016/B978-0-12-818914-6.00002-8
Harari G(2020)A process-oriented approach to respecting privacy in the context of mobile phone trackingCurrent Opinion in Psychology10.1016/j.copsyc.2019.09.00731(141-147)Online publication date: Feb-2020
https://doi.org/10.1016/j.copsyc.2019.09.007
Trifan AOliveira MOliveira J(2019)Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible LimitationsJMIR mHealth and uHealth10.2196/126497:8(e12649)Online publication date: 23-Aug-2019
https://doi.org/10.2196/12649
Yoo DDe Choudhury MMayora OForti SMeyer JMamykina L(2019)Designing Dashboard for Campus Stakeholders to Support College Student Mental HealthProceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare10.1145/3329189.3329200(61-70)Online publication date: 20-May-2019
https://dl.acm.org/doi/10.1145/3329189.3329200
Hiniker AFroehlich JZhang MBeneteau EBrewster SFitzpatrick GCox AKostakos V(2019)Anchored Audio SamplingProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300238(1-13)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300238

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Recommendations

Predicting Symptom Trajectories of Schizophrenia using Mobile Sensing

Mobile based symptom management for palliative care

Towards Understanding ICU Treatments Using Patient Health Trajectories