Clinical Validation of the EMOCARE-Derived Depressive Symptom Severity Score using Established Clinician- and Self-reported Scales: Preliminary Evidence Across 3 Prospective Studies
Perzo, A.; Petelot, T.; Seguier, R.; Magaraggia, I.
Show abstract
In a pooled analysis of 3 prospective studies in adults with mood disorders, EMOCARE depressive symptom severity scores derived from passive multimodal remote monitoring showed moderate-to-strong convergent validity and sensitivity to change versus established clinician- and self-rated symptom scales, including the Montgomery-[A]sberg Depression Rating Scale (MADRS) and Patient Health Questionnaire-9 (PHQ-9).
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Emotional Adaptation During A Crisis: Decline in Anxiety and Depression After the Initial Weeks of COVID-19 in the United States 92%
- Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data 92%
- Longitudinal Stability of Mood-Related Resting-State Networks in Youth with Symptomatic Bipolar-I/II Disorder 91%
Similar papers in this journal
- Exploring the Efficacy and Potential of Large Language Models for Depression: A Systematic Review 92%
- Depression is Associated with Treatment Response Trajectories in Adults with Prolonged Grief Disorder: A Machine Learning Analysis 91%
- Which traits predict elevated distress during the Covid-19 pandemic? Results from a large, longitudinal cohort study with psychiatric patients and healthy controls 91%
Similar papers in this journal
- The development and validation of a prognostic model to predict relapse in adults with remitted depression in primary care: secondary analysis of pooled individual participant data from multiple studies 92%
- Single-session intervention with and without video support to prevent the worsening of emotional distress among healthcare workers during the SARS-CoV-2 pandemic: a randomized clinical trial 91%
- Cognition and Future Depression: Associations with Risk in Those With and Without a History of Depression 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.