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Leveraging Large Language Models to Map Triggers of Contamination-Related Obsessive-Compulsive Symptoms

2025-05-16

Abstract excerpt

Recent advancements in natural language processing (NLP) and large language models (LLMs) offer new avenues for exploring previously under-researched areas in mental health. Their capacity to automatically and meaningfully analyze large-scale text data makes them particularly valuable for studying highly individualized phenomena with clinical relevance, such as triggers of obsessive-compulsive symptoms (OCS), wher...

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Literature Corpus work
ca66d560-706f-56bb-9952-c7080b903970
DOI
10.1101/2025.05.15.25327706
Open publication

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Leveraging Large Language Models to Map Triggers of Contamination-Related Obsessive-Compulsive SymptomsDOI 10.1101/2025.05.15.25327706
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