Vocal Acoustic Features as Potential Biomarkers for Identifying/Diagnosing Depression: A Cross-Sectional Study.
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| Title: | Vocal Acoustic Features as Potential Biomarkers for Identifying/Diagnosing Depression: A Cross-Sectional Study. |
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| Authors: | Zhao Q; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China., Fan HZ; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China., Li YL; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China., Liu L; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China., Wu YX; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China., Zhao YL; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China., Tian ZX; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China., Wang ZR; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China., Tan YL; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China., Tan SP; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China. |
| Source: | Frontiers in psychiatry [Front Psychiatry] 2022 Apr 28; Vol. 13, pp. 815678. Date of Electronic Publication: 2022 Apr 28 (Print Publication: 2022). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101545006 Publication Model: eCollection Cited Medium: Print ISSN: 1664-0640 (Print) Linking ISSN: 16640640 NLM ISO Abbreviation: Front Psychiatry Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-0640 |
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| DOI: | 10.3389/fpsyt.2022.815678 |
