Hype or hope? Ketamine for the treatment of depression
Results from the application of deep learning to Twitter posts from 2010 to 2023
Bibliographic Data
| ID | 15522964 |
|---|---|
| Authors | Qi Xuan Ng (0000-0001-8561-2513, National University of Singapore), Yu Liang Lim (0000-0001-5815-0878, Tan Tock Seng Hospital), Clarence Ong (0009-0006-2397-9137, National University of Singapore), Silas New (Changi General Hospital), Johnson Fam (0000-0003-4431-8793, Singapore General Hospital), Tau Ming Liew (0000-0003-1555-7752, National University of Singapore, corresponding author) |
| Year | 2024 |
| Volume | 15 |
| Pages | 1369727-1369727 |
| Publication date | 2024-05-10 |
| 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.2024.1369727 |
| PMID | 38800065 |
| OpenAlex | W4396803450 |
| Language | EN |
| References cited | 24 |
In summary, the public's multifaceted perception leans towards a hopeful stance on ketamine's therapeutic potential for depression
Depression (economics · Ketamine · Microblogging · Optimism · Perception · Psychiatry · Qualitative research · Social media · Social science · Sociology · Thematic analysis · World Wide Web · Computer Science · Medicine · Mental Health Research Topics · Psychology · Social Psychology · Treatment of Major Depression · Tryptophan and brain disorders
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Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder
TreatmentResistantDepression
Analyzing Twitter Data to Evaluate People’s Attitudes towards Public Health Policies and Events in the Era of Covid-19
Using thematic analysis in psychology
| Highly cited | No |
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