Predicting Early Warning Signs of Psychotic Relapse from Passive Sensing Data: An Approach Using Encoder-Decoder Neural Networks (Preprint)

Relationships between smartphone social behavior and relapse in schizophrenia: A preliminary report

(2019) Benjamin Buck et al.   SCHIZOPHRENIA RESEARCH

Relapse prediction in schizophrenia through digital phenotyping: a pilot study

(2018) Ian Barnett et al.   NEUROPSYCHOPHARMACOLOGY

The mythos of model interpretability

(2018) Zachary C. Lipton   COMMUNICATIONS OF THE ACM

A Combined Deep Learning GRU-Autoencoder for the Early Detection of Respiratory Disease in Pigs Using Multiple Environmental Sensors

(2018) Jake Cowton et al.   SENSORS

Digital phenotyping: a global tool for psychiatry

(2018) Thomas R. Insel   World Psychiatry

Learning from class-imbalanced data: Review of methods and applications

(2017) Guo Haixiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Predicting human behavior: The next frontiers

(2017) V. S. Subrahmanian et al.   SCIENCE

New dimensions and new tools to realize the potential of RDoC: digital phenotyping via smartphones and connected devices

(2017) J Torous et al.   Translational Psychiatry

Comparing early signs and basic symptoms as methods for predicting psychotic relapse in clinical practice

(2017) Emily Eisner et al.   SCHIZOPHRENIA RESEARCH

The Economic Burden of Schizophrenia in the United States in 2013

(2016) Martin Cloutier et al.   JOURNAL OF CLINICAL PSYCHIATRY

Smartphones in Mental Health: Detecting Depressive and Manic Episodes

(2015) Venet Osmani   IEEE PERVASIVE COMPUTING

Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study

(2015) Sohrab Saeb et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Deep learning

(2015) Yann LeCun et al.   NATURE

Mobile Phone Ownership and Endorsement of “mHealth” Among People With Psychosis: A Meta-analysis of Cross-sectional Studies

(2015) Joseph Firth et al.   SCHIZOPHRENIA BULLETIN

BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing

(2014) Nicholas D. Lane et al.   MOBILE NETWORKS & APPLICATIONS

Barriers, Benefits, and Strategies for Physical Activity in Patients With Schizophrenia

(2014) C. Rastad et al.   PHYSICAL THERAPY

The nature of relapse in schizophrenia

(2013) Robin Emsley et al.   BMC Psychiatry

Sleep and circadian rhythm disruption in schizophrenia

(2011) Katharina Wulff et al.   BRITISH JOURNAL OF PSYCHIATRY

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS