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Article

Using a Fine-tuned Large Language Model for Symptom-based Depression Evaluation

2025-05-13

Abstract excerpt

<title>Abstract</title> <p>Recent advances in artificial intelligence, particularly large language models (LLMs), show promise for mental health applications, including the automated detection of depressive symptoms from natural language. We fine-tuned a German BERT-based LLM to predict individual Montgomery-Åsberg Depression Rating Scale (MADRS) scores using a regression approach across nine symptom items (0–6 s...

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Literature Corpus work
1b529aa0-cb78-5b83-80a3-ae87d6d8be41
DOI
10.21203/rs.3.rs-6555767/v1
Open publication

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Using a Fine-tuned Large Language Model for Symptom-based Depression EvaluationDOI 10.21203/rs.3.rs-6555767/v1
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