Depression predictions from GPS-based mobility do not generalize well to large demographically heterogeneous samples

Screening accuracy of a 14-day smartphone ambulatory assessment of depression symptoms and mood dynamics in a general population sample: Comparison with the PHQ-9 depression screening

(2021) Sebastian Burchert et al.   PLoS One

Predicting personality from patterns of behavior collected with smartphones

(2020) Clemens Stachl et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Comorbid depression in medical diseases

(2020) Stefan M. Gold et al.   Nature Reviews Disease Primers

Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations

(2019) Alina Trifan et al.   JMIR mHealth and uHealth

Dissecting racial bias in an algorithm used to manage the health of populations

(2019) Ziad Obermeyer et al.   SCIENCE

Systematic review of smartphone-based passive sensing for health and wellbeing

(2018) Victor P. Cornet et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Facebook language predicts depression in medical records

(2018) Johannes C. Eichstaedt et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Fusing Location Data for Depression Prediction

(2018) Chaoqun Yue et al.   IEEE Transactions on Big Data

Using Mobile Sensing to Test Clinical Models of Depression, Social Anxiety, State Affect, and Social Isolation Among College Students

(2017) Philip I Chow et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Semantics derived automatically from language corpora contain human-like biases

(2017) Aylin Caliskan et al.   SCIENCE

Tutorial in biostatistics: data-driven subgroup identification and analysis in clinical trials

(2016) Ilya Lipkovich et al.   STATISTICS IN MEDICINE

Why stay home? Temporal association of pain, fatigue and depression with being at home

(2016) Craig Ravesloot et al.   Disability and Health Journal

The relationship between mobile phone location sensor data and depressive symptom severity

(2016) Sohrab Saeb et al.   PeerJ

Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild

(2016) Fabian Wahle et al.   JMIR mHealth and uHealth

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

Alcohol and depression

(2011) Joseph M. Boden et al.   ADDICTION

The weirdest people in the world?

(2010) Joseph Henrich et al.   BEHAVIORAL AND BRAIN SCIENCES

Assessing Heterogeneity of Treatment Effects: Are Authors Misinterpreting Their Results?

(2009) Erik Fernandez y Garcia et al.   HEALTH SERVICES RESEARCH