تقرير
Synth-SBDH: A Synthetic Dataset of Social and Behavioral Determinants of Health for Clinical Text
| العنوان: | Synth-SBDH: A Synthetic Dataset of Social and Behavioral Determinants of Health for Clinical Text |
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| المؤلفون: | Mitra, Avijit, Druhl, Emily, Goodwin, Raelene, Yu, Hong |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computation and Language |
| الوصف: | Social and behavioral determinants of health (SBDH) play a crucial role in health outcomes and are frequently documented in clinical text. Automatically extracting SBDH information from clinical text relies on publicly available good-quality datasets. However, existing SBDH datasets exhibit substantial limitations in their availability and coverage. In this study, we introduce Synth-SBDH, a novel synthetic dataset with detailed SBDH annotations, encompassing status, temporal information, and rationale across 15 SBDH categories. We showcase the utility of Synth-SBDH on three tasks using real-world clinical datasets from two distinct hospital settings, highlighting its versatility, generalizability, and distillation capabilities. Models trained on Synth-SBDH consistently outperform counterparts with no Synth-SBDH training, achieving up to 62.5% macro-F improvements. Additionally, Synth-SBDH proves effective for rare SBDH categories and under-resource constraints. Human evaluation demonstrates a Human-LLM alignment of 71.06% and uncovers areas for future refinements. Comment: Github: https://github.com/avipartho/Synth-SBDH |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2406.06056 |
| رقم الأكسشن: | edsarx.2406.06056 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |