Automatic depression severity assessment with deep learning using parameter-efficient tuning

Improving depression prediction using a novel feature selection algorithm coupled with context-aware analysis

(2021) Zhijun Dai et al.   JOURNAL OF AFFECTIVE DISORDERS

Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic

(2021) Damian F Santomauro et al.   LANCET

Deep learning in mental health outcome research: a scoping review

(2020) Chang Su et al.   Translational Psychiatry

Deep neural networks in psychiatry

(2019) Daniel Durstewitz et al.   MOLECULAR PSYCHIATRY

Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders

(2019) Ziping Zhao et al.   IEEE Journal of Selected Topics in Signal Processing

Stability of the Distribution of Patient Health Questionnaire-9 Scores Against Age in the General Population: Data From the National Health and Nutrition Examination Survey

(2018) Shinichiro Tomitaka et al.   Frontiers in Psychiatry

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 PHQ-8 as a measure of current depression in the general population

(2008) Kurt Kroenke et al.   JOURNAL OF AFFECTIVE DISORDERS