logo
ResearchBunny Logo
A natural language processing approach to detect inconsistencies in death investigation notes attributing suicide circumstances

Computer Science

A natural language processing approach to detect inconsistencies in death investigation notes attributing suicide circumstances

S. Wang, Y. Zhou, et al.

Discover the critical need for data accuracy in scientific research and policy development. This innovative study by Song Wang, Yiliang Zhou, Ziqiang Han, Cui Tao, Yunyu Xiao, Ying Ding, Joydeep Ghosh, and Yifan Peng employs a cutting-edge Natural Language Processing approach to identify annotation inconsistencies in the National Violent Death Reporting System, revealing significant insights into suicide-circumstance data. Don't miss it!

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny