Advancing Mental Health Diagnostics: GPT-Based Method for Depression Detection

Author:

Danner Michael1,Hadzic Bakir2,Gerhardt Sophie2,Ludwig Simon2,Uslu Irem2,Shao Peng3,Weber Thomas2,Shiban Youssef4,Ratsch Matthias2

Affiliation:

1. University of Surrey,Guildford,United Kingdom

2. Reutlingen University,ViSiR,Reutlingen,Germany

3. Xi’an Polytechnic University,School of Management,Xi’an,China

4. Private University of Applied Sciences,Göttingen,Germany

Publisher

IEEE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing multimodal depression detection with intra- and inter-sample contrastive learning;Information Sciences;2024-12

2. Zero-Shot Strike: Testing the generalisation capabilities of out-of-the-box LLM models for depression detection;Computer Speech & Language;2024-11

3. Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis;Journal of Healthcare Informatics Research;2024-09-14

4. Mental Health and Stress Prediction Using NLP and Transformer-Based Techniques;2024 IEEE Symposium on Wireless Technology & Applications (ISWTA);2024-07-20

5. Mental-Health Topic Classification employing D-vectors of Large Language Models;2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS);2024-06-26

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