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Updated: Jan 11, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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用基于大型语言模型和机器学习的文字和音频特征进行抑郁症查

Yu Jin1, Xin Chen1, Xintian Hong2

  • 1Department of Statistics, Faculty of Arts and Sciences, Beijing Normal University, Beijing, China.

Journal of affective disorders
|November 18, 2025
PubMed
概括

整合音频和文本数据显著提高了抑郁查准确度. 多模式机器学习模型,特别是随机森林回归 (RFR),通过分析语音模式和语言情绪,显示出卓越的性能.

关键词:
抑郁症查 抑郁症查大型语言模型.机器学习 机器学习多式联络融合是多式联络的融合方式.

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