LLM Questionnaire Completion for Automatic Psychiatric Assessment
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866910480944070656 |
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| author | Rosenman, Gony Wolf, Lior Hendler, Talma |
| author_facet | Rosenman, Gony Wolf, Lior Hendler, Talma |
| contents | We employ a Large Language Model (LLM) to convert unstructured psychological interviews into structured questionnaires spanning various psychiatric and personality domains. The LLM is prompted to answer these questionnaires by impersonating the interviewee. The obtained answers are coded as features, which are used to predict standardized psychiatric measures of depression (PHQ-8) and PTSD (PCL-C), using a Random Forest regressor. Our approach is shown to enhance diagnostic accuracy compared to multiple baselines. It thus establishes a novel framework for interpreting unstructured psychological interviews, bridging the gap between narrative-driven and data-driven approaches for mental health assessment. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_06636 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | LLM Questionnaire Completion for Automatic Psychiatric Assessment Rosenman, Gony Wolf, Lior Hendler, Talma Computation and Language Machine Learning 68T50 I.2.7 We employ a Large Language Model (LLM) to convert unstructured psychological interviews into structured questionnaires spanning various psychiatric and personality domains. The LLM is prompted to answer these questionnaires by impersonating the interviewee. The obtained answers are coded as features, which are used to predict standardized psychiatric measures of depression (PHQ-8) and PTSD (PCL-C), using a Random Forest regressor. Our approach is shown to enhance diagnostic accuracy compared to multiple baselines. It thus establishes a novel framework for interpreting unstructured psychological interviews, bridging the gap between narrative-driven and data-driven approaches for mental health assessment. |
| title | LLM Questionnaire Completion for Automatic Psychiatric Assessment |
| topic | Computation and Language Machine Learning 68T50 I.2.7 |
| url | https://arxiv.org/abs/2406.06636 |