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Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes
March 29, 2024, 4:48 a.m. | Song Wang, Yiliang Zhou, Ziqiang Han, Cui Tao, Yunyu Xiao, Ying Ding, Joydeep Ghosh, Yifan Peng
cs.CL updates on arXiv.org arxiv.org
Abstract: Data accuracy is essential for scientific research and policy development. The National Violent Death Reporting System (NVDRS) data is widely used for discovering the patterns and causes of death. Recent studies suggested the annotation inconsistencies within the NVDRS and the potential impact on erroneous suicide-cause attributions. We present an empirical Natural Language Processing (NLP) approach to detect annotation inconsistencies and adopt a cross-validation-like paradigm to identify problematic instances. We analyzed 267,804 suicide death incidents between …
abstract accuracy annotation arxiv cs.ai cs.cl data data accuracy death detection development impact investigation notes patterns policy reporting research scientific scientific research studies suicide through type
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