[HTML][HTML] From smartphone data to clinically relevant predictions: A systematic review of digital phenotyping methods in depression

IE Leaning, N Ikani, HS Savage, A Leow… - Neuroscience & …, 2024 - Elsevier
Background Smartphone-based digital phenotyping enables potentially clinically relevant
information to be collected as individuals go about their day. This could improve monitoring …

[HTML][HTML] Challenges in using mHealth data from smartphones and wearable devices to predict depression symptom severity: retrospective analysis

S Sun, AA Folarin, Y Zhang, N Cummins… - Journal of medical …, 2023 - jmir.org
Background Major depressive disorder (MDD) affects millions of people worldwide, but
timely treatment is not often received owing in part to inaccurate subjective recall and …

Digital tools for the assessment of pharmacological treatment for depressive disorder: state of the art

E Van Assche, JA Ramos-Quiroga, CM Pariante… - European …, 2022 - Elsevier
Depression is an invalidating disorder, marked by phenotypic heterogeneity. Clinical
assessments for treatment adjustments and data-collection for pharmacological research …

[HTML][HTML] Classifying and clustering mood disorder patients using smartphone data from a feasibility study

C Langholm, S Breitinger, L Gray, F Goes… - npj Digital …, 2023 - nature.com
Differentiating between bipolar disorder and major depressive disorder can be challenging
for clinicians. The diagnostic process might benefit from new ways of monitoring the …

Integrating digital phenotyping in clinical characterization of individuals with mood disorders

E Brietzke, ER Hawken, M Idzikowski, J Pong… - Neuroscience & …, 2019 - Elsevier
Abstract Major Depressive Disorder (MDD) and bipolar disorder (BD) are still under
recognized and undertreated, especially in primary care settings. One of the challenges …

[HTML][HTML] Digital health tools for the passive monitoring of depression: a systematic review of methods

V De Angel, S Lewis, K White, C Oetzmann… - NPJ digital …, 2022 - nature.com
The use of digital tools to measure physiological and behavioural variables of potential
relevance to mental health is a growing field sitting at the intersection between computer …

[HTML][HTML] Digital phenotyping in depression diagnostics: integrating psychiatric and engineering perspectives

J Kamath, RL Barriera, N Jain, E Keisari… - World Journal of …, 2022 - ncbi.nlm.nih.gov
Depression is a serious medical condition and is a leading cause of disability worldwide.
Current depression diagnostics and assessment has significant limitations due to …

[HTML][HTML] A narrative review of digital biomarkers in the management of major depressive disorder and treatment-resistant forms

A Vignapiano, F Monaco, C Pagano, M Piacente… - Frontiers in …, 2023 - frontiersin.org
Introduction Depression is the leading cause of worldwide disability, until now only 3% of
patients with major depressive disorder (MDD) experiences full recovery or remission …

[HTML][HTML] Sensing apps and public data sets for digital phenotyping of mental health: systematic review

JPM Mendes, IR Moura, P Van de Ven, D Viana… - Journal of medical …, 2022 - jmir.org
Background Mental disorders are normally diagnosed exclusively on the basis of symptoms,
which are identified from patients' interviews and self-reported experiences. To make mental …

[HTML][HTML] Digital phenotyping: towards replicable findings with comprehensive assessments and integrative models in bipolar disorders

UW Ebner-Priemer, E Mühlbauer, AB Neubauer… - International Journal of …, 2020 - Springer
Background Digital phenotyping promises to unobtrusively obtaining a continuous and
objective input of symptomatology from patients' daily lives. The prime example are bipolar …