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Peer-Reviewed Publication
BMC Med Inform Decis Mak2019;19(1):127.July 9, 2019Journal Article

Automatically determining cause of death from verbal autopsy narratives.

Serena Jeblee1,2, Mireille Gomes3,4, Prabhat Jha3,4, Frank Rudzicz5,6,7,8, Graeme Hirst5,6
1Department of Computer Science, University of Toronto, Toronto, Canada. sjeblee@cs.toronto.edu.
2Vector Institute for Artificial Intelligence, Toronto, Canada. sjeblee@cs.toronto.edu.
3Centre for Global Health Research, St.Michael's Hospital, Toronto, Canada.
4Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
5Department of Computer Science, University of Toronto, Toronto, Canada.
6Vector Institute for Artificial Intelligence, Toronto, Canada.
7Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Canada.
8Surgical Safety Technologies Inc, Toronto, Canada.
PubMed PMC DOI PDF

Abstract

BACKGROUND: A verbal autopsy (VA) is a post-hoc written interview report of the symptoms preceding a person's death in cases where no official cause of death (CoD) was determined by a physician. Current leading automated VA coding methods primarily use structured data from VAs to assign a CoD category. We present a method to automatically determine CoD categories from VA free-text narratives alone…

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