Predicting Symptom Trajectories of Schizophrenia using Mobile Sensing
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Andrew T. Campbell | Weichen Wang | Tanzeem Choudhury | Rui Wang | Dror Ben-Zeev | Rachel Brian | M. S. Hane Aung | Marta Hauser | John Kane | Emily A. Scherer | Megan Walsh | D. Ben-Zeev | A. Campbell | Tanzeem Choudhury | J. Kane | E. Scherer | Rui Wang | Weichen Wang | M. Hauser | M. Aung | Megan Walsh | R. Brian | Min S. H. Aung | Dror Ben-Zeev
[1] Jeff A. Bilmes,et al. A Privacy-Sensitive Approach to Modeling Multi-Person Conversations , 2007, IJCAI.
[2] E. LESTER SMITH,et al. AND OTHERS , 2005 .
[3] D. Ben-Zeev,et al. Comparing retrospective reports to real-time/real-place mobile assessments in individuals with schizophrenia and a nonclinical comparison group. , 2012, Schizophrenia bulletin.
[4] R. Liberman,et al. Brief Psychiatric Rating Scale (BPRS) Expanded Version (4.0): Scales, Anchor Points, and Administration Manual , 1993 .
[5] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[6] Akram Alomainy,et al. Large scale mood and stress self-assessments on a smartwatch , 2016, UbiComp Adjunct.
[7] Alexander Russell,et al. Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data , 2016, 2016 IEEE Wireless Health (WH).
[8] S. Zeger,et al. Longitudinal data analysis using generalized linear models , 1986 .
[9] Mirco Musolesi,et al. Towards multi-modal anticipatory monitoring of depressive states through the analysis of human-smartphone interaction , 2016, UbiComp Adjunct.
[10] E. Echeburúa,et al. Prediction of Relapse After Cognitive-Behavioral Treatment of Gambling Disorder in Individuals With Chronic Schizophrenia: A Survival Analysis. , 2017, Behavior therapy.
[11] Emre Ertin,et al. cStress: towards a gold standard for continuous stress assessment in the mobile environment , 2015, UbiComp.
[12] Ron Kohavi,et al. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.
[13] M. Birchwood,et al. Predicting relapse in schizophrenia: the development and implementation of an early signs monitoring system using patients and families as observers, a preliminary investigation , 1989, Psychological Medicine.
[14] C. Martin. 2015 , 2015, Les 25 ans de l’OMC: Une rétrospective en photos.
[15] J. Overall,et al. The Brief Psychiatric Rating Scale , 1962 .
[16] P. Diggle. Analysis of Longitudinal Data , 1995 .
[17] Andrew T. Campbell,et al. Mobile Behavioral Sensing for Outpatients and Inpatients With Schizophrenia. , 2016, Psychiatric services.
[18] Akane Sano,et al. Stress Recognition Using Wearable Sensors and Mobile Phones , 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.
[19] T C Chalmers,et al. A method for assessing the quality of a randomized control trial. , 1981, Controlled clinical trials.
[20] K Y Liang,et al. An overview of methods for the analysis of longitudinal data. , 1992, Statistics in medicine.
[21] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[22] R. Spitzer,et al. Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire. , 1999, JAMA.
[23] G. Strauss,et al. Periods of recovery in deficit syndrome schizophrenia: a 20-year multi-follow-up longitudinal study. , 2010, Schizophrenia bulletin.
[24] Jeff A. Bilmes,et al. Conversation detection and speaker segmentation in privacy-sensitive situated speech data , 2007, INTERSPEECH.
[25] J Elith,et al. A working guide to boosted regression trees. , 2008, The Journal of animal ecology.
[26] Konrad Paul Kording,et al. Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study , 2015, Journal of medical Internet research.
[27] Andrew T. Campbell,et al. Bewell: A smartphone application to monitor, model and promote wellbeing , 2011, PervasiveHealth 2011.
[28] John W. Haller,et al. Lateralized attentional abnormality in schizophrenia is correlated with severity of symptoms , 1993, Biological Psychiatry.
[29] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[30] Oscar Mayora-Ibarra,et al. Monitoring activity of patients with bipolar disorder using smart phones , 2013, MoMM '13.
[31] R. Spitzer,et al. The PHQ-9 , 2001, Journal of General Internal Medicine.
[32] Yutaka Arakawa,et al. COSMS: unconscious stress monitoring system for office worker , 2016, UbiComp Adjunct.
[33] Matjaz Gams,et al. Continuous stress detection using a wrist device: in laboratory and real life , 2016, UbiComp Adjunct.
[34] Gary J. Robertson,et al. Wide‐Range Achievement Test , 2010 .
[35] Oscar Mayora-Ibarra,et al. Correlation of significant places with self-reported state of bipolar disorder patients , 2014, 2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH).
[36] Fanglin Chen,et al. StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones , 2014, UbiComp.
[37] Daniel Gatica-Perez,et al. StressSense: detecting stress in unconstrained acoustic environments using smartphones , 2012, UbiComp.
[38] J. Sweeney,et al. Drug abuse in schizophrenic patients: clinical correlates and reasons for use. , 1991, The American journal of psychiatry.
[39] Melissa P. DelBello,et al. Early response or nonresponse at week 2 and week 3 predict ultimate response or nonresponse in adolescents with schizophrenia treated with olanzapine: results from a 6-week randomized, placebo-controlled trial , 2015, European Child & Adolescent Psychiatry.
[40] Vincent W. S. Tseng,et al. CrossCheck: Integrating Self-Report, Behavioral Sensing, and Smartphone Use to Identify Digital Indicators of Psychotic Relapse , 2017, Psychiatric rehabilitation journal.
[41] Tanzeem Choudhury,et al. Automatic detection of social rhythms in bipolar disorder , 2016, J. Am. Medical Informatics Assoc..
[42] Henry A. Kautz,et al. Capturing Spontaneous Conversation and Social Dynamics: A Privacy-Sensitive Data Collection Effort , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[43] Inbal Nahum-Shani,et al. Visualization of time-series sensor data to inform the design of just-in-time adaptive stress interventions , 2015, UbiComp.
[44] Fanglin Chen,et al. Unobtrusive sleep monitoring using smartphones , 2013, 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops.
[45] Deborah Estrin,et al. Leveraging Multi-Modal Sensing for Mobile Health: A Case Review in Chronic Pain , 2016, IEEE Journal of Selected Topics in Signal Processing.
[46] Paul Lukowicz,et al. Can smartphones detect stress-related changes in the behaviour of individuals? , 2012, 2012 IEEE International Conference on Pervasive Computing and Communications Workshops.
[47] Oscar Mayora-Ibarra,et al. Classification of bipolar disorder episodes based on analysis of voice and motor activity of patients , 2016, Pervasive Mob. Comput..
[48] Mirco Musolesi,et al. Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis , 2015, UbiComp.
[49] Helen Koo,et al. Stresssense: skin conductivity monitoring garment with a mobile app , 2016, UbiComp Adjunct.
[50] Emiliano Miluzzo,et al. A survey of mobile phone sensing , 2010, IEEE Communications Magazine.
[51] Lawrence B. Inderbitzin,et al. Substance use: a powerful predictor of relapse in schizophrenia , 1996, Schizophrenia Research.
[52] Venet Osmani,et al. Smartphones in Mental Health: Detecting Depressive and Manic Episodes , 2015, IEEE Pervasive Computing.
[53] John E. Overall,et al. The Brief Psychiatric Rating Scale , 1962 .
[54] R. Spitzer,et al. The PHQ-9: A new depression diagnostic and severity measure , 2002 .
[55] Tanzeem Choudhury,et al. Passive and In-Situ assessment of mental and physical well-being using mobile sensors , 2011, UbiComp '11.
[56] Frederick R. Forst,et al. On robust estimation of the location parameter , 1980 .
[57] Gernot Bahle,et al. Utilizing Smartphones as an Effective Way to Support Patients with Bipolar Disorder: Results of the Monarca Study , 2015, European Psychiatry.
[58] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[59] Rui Wang,et al. CrossCheck: toward passive sensing and detection of mental health changes in people with schizophrenia , 2016, UbiComp.
[60] Alex Pentland,et al. Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits , 2014, ACM Multimedia.
[61] Yu Huang,et al. DEMONS: an integrated framework for examining associations between physiology and self-reported affect tied to depressive symptoms , 2016, UbiComp Adjunct.
[62] Konrad Paul Kording,et al. The relationship between mobile phone location sensor data and depressive symptom severity , 2016, PeerJ.
[63] Maximilian Kerz,et al. SleepSight: a wearables-based relapse prevention system for schizophrenia , 2015, UbiComp Adjunct.
[64] Gregory A Aarons,et al. Incarceration among adults who are in the public mental health system: rates, risk factors, and short-term outcomes. , 2012, Psychiatric services.
[65] R. Liberman,et al. Consistency of Brief Psychiatric Rating Scale Factor Structure across a Broad Spectrum of Schizophrenia Patients , 2007, Psychopathology.
[66] Simone Ullrich,et al. Paranoid Ideation and Violence: Meta-analysis of Individual Subject Data of 7 Population Surveys , 2016, Schizophrenia bulletin.
[67] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[68] Josep Maria Haro,et al. Psychotic-Like Experiences and Nonsuidical Self-Injury in England: Results from a National Survey , 2015, PloS one.
[69] P. Burton,et al. Extending the simple linear regression model to account for correlated responses: an introduction to generalized estimating equations and multi-level mixed modelling. , 1998, Statistics in medicine.