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Exploring the Generalizability and Explainability of LLMs in Detecting Suicidal Ideation: The Impact of Data Heterogeneity

2025-11-12

Abstract excerpt

<title>Abstract</title> <p>Objectives With the recent advancement of artificial intelligence (AI) and large language models (LLMs), the use of text analysis to detect suicidal ideation can be a promising tool. However, the performance of such detection system could be influenced by the language use difference caused by individuals’ alexithymic characteristics (difficulties in expressing emotion with unique langua...

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Literature Corpus work
a39b6aaa-90a6-5123-ab9d-8badbc509d99
DOI
10.21203/rs.3.rs-7657467/v1
Open publication

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Exploring the Generalizability and Explainability of LLMs in Detecting Suicidal Ideation: The Impact of Data HeterogeneityDOI 10.21203/rs.3.rs-7657467/v1
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