Multidimensional voiceprint feature assessment system for identifying the depression in children and adolescents
A diagnostic test
Bibliographic Data
| ID | 15522380 |
|---|---|
| Authors | Jie Luo (0000-0002-0484-4441, Capital Medical University), Mengqi Liu (0000-0002-2771-798X, Capital Medical University), Lihui Feng (0000-0001-9171-8998, Beijing Institute of Technology), Zhaojun Li (0000-0002-5577-8958, Beijing Institute of Technology), Yuanzhen Wu (Capital Medical University), Jihua Lu (0000-0002-4780-1695, Beijing Institute of Technology, corresponding author), Fan He (0000-0001-6027-7157, Beijing Anding Hospital, corresponding author) |
| Year | 2023 |
| Volume | 14 |
| Pages | 1105534-1105534 |
| Publication date | 2023-05-10 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2023.1105534 |
| PMID | 37234211 |
| OpenAlex | W4378348343 |
| Language | EN |
| Citations received | 1 |
| References cited | 30 |
The MVFDA has performed well in clinical diagnostic trials for the identification of MDD in children and adolescents by capturing objective sound features. Compared with the scale assessment method, the MVFDA system could be further promoted in clinical practice due to its advantages of simple operation, objective rating, and high diagnostic efficiency
Depression (economics · Feature (linguistics · Psychiatry · Test (biology · Clinical Psychology · Emotion and Mood Recognition · Infant Health and Development · Medicine · Psychology · Stuttering Research and Treatment
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |