Mood ratings and digital biomarkers from smartphone and wearable data differentiates and predicts depression status: A longitudinal data analysis

Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing

(2021) Prerna Chikersal et al.   ACM Transactions on Computer-Human Interaction

Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data

(2021) Isaac Moshe et al.   Frontiers in Psychiatry

Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones

(2020) Nicholas C. Jacobson et al.   SENSORS

Impact of COVID-19 pandemic on mental health in the general population: A systematic review

(2020) Jiaqi Xiong et al.   JOURNAL OF AFFECTIVE DISORDERS

Monitoring Changes in Depression Severity Using Wearable and Mobile Sensors

(2020) Paola Pedrelli et al.   Frontiers in Psychiatry

Heart Rate Variability as Indicator of Clinical State in Depression

(2019) Ralf Hartmann et al.   Frontiers in Psychiatry

Touchscreen typing pattern analysis for remote detection of the depressive tendency

(2019) Rafail-Evangelos Mastoras et al.   Scientific Reports

Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone

(2019) Heejung Kim et al.   JMIR mHealth and uHealth

Missing Data Imputation for Supervised Learning

(2018) Jason Poulos et al.   APPLIED ARTIFICIAL INTELLIGENCE

Predicting Mood Disturbance Severity with Mobile Phone Keystroke Metadata: A BiAffect Digital Phenotyping Study

(2018) John Zulueta et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Mental health monitoring with multimodal sensing and machine learning: A survey

(2018) Enrique Garcia-Ceja et al.   Pervasive and Mobile Computing

Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

(2018) Spencer L James et al.   LANCET

The Depression, Anxiety and Stress Scale (DASS-21) as a Screener for Depression in Substance Use Disorder Inpatients: A Pilot Study

(2017) Ilse N. Beaufort et al.   EUROPEAN ADDICTION RESEARCH

Moods in Clinical Depression Are More Unstable than Severe Normal Sadness

(2017) Rudy Bowen et al.   Frontiers in Psychiatry

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

Quality of Life in Medically Ill Persons with Comorbid Mental Disorders: A Systematic Review and Meta-Analysis

(2011) Harald Baumeister et al.   PSYCHOTHERAPY AND PSYCHOSOMATICS

The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review

(2010) Kurt Kroenke et al.   GENERAL HOSPITAL PSYCHIATRY