Name
Title | ||
|---|---|---|
Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood. |
Abstract | ||
|---|---|---|
Childhood anxiety and depression often go undiagnosed. If left untreated these conditions, collectively known as internalizing disorders, are associated with long-term negative outcomes including substance abuse and increased risk for suicide. This paper presents a new approach for identifying young children with internalizing disorders using a 3-minute speech task. We show that machine learning analysis of audio data from the task can be used to identify children with an internalizing disorder with 80% accuracy (54% sensitivity, 93% specificity). The speech features most discriminative of internalizing disorder are analyzed in detail, showing that affected children exhibit especially low-pitch voices, with repeatable speech inflections and content, and high-pitched response to surprising stimuli relative to controls. This new tool is shown to outperform clinical thresholds on parent-reported child symptoms, which identify children with an internalizing disorder with lower accuracy (67-77 vs. 80%), and similar specificity (85-100 vs. 93%), and sensitivity (0-58 vs. 54%) in this sample. These results point toward the future use of this approach for screening children for internalizing disorders so that interventions can be deployed when they have the highest chance for long-term success. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/JBHI.2019.2913590 | IEEE journal of biomedical and health informatics |
Keywords | Field | DocType |
Task analysis,Pediatrics,Machine learning,Interviews,Psychiatry,Informatics,Sensitivity | Informatics,Psychological intervention,Task analysis,Internalizing disorder,Computer science,Anxiety,Substance abuse,Early childhood,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
23 | 6 | 2168-2208 |
Citations | PageRank | References |
1 | 0.34 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ellen W. McGinnis | 1 | 1 | 1.70 |
| Steven P Anderau | 2 | 1 | 0.34 |
| Jessica Hruschak | 3 | 1 | 1.70 |
| Reed D Gurchiek | 4 | 5 | 2.15 |
| Nestor L. Lopez-Duran | 5 | 8 | 2.60 |
| Kate Fitzgerald | 6 | 1 | 1.02 |
| Katherine L. Rosenblum | 7 | 1 | 1.70 |
| Maria Muzik | 8 | 1 | 1.70 |
| ryan s mcginnis | 9 | 17 | 5.85 |