Text mining of verbal autopsy narratives to extract mortality causes and most prevalent diseases using natural language processing

Simple item page
dc.article.end-page26en
dc.article.start-page1en
dc.citation.doi10.1371/JOURNAL.PONE.0308452en
dc.contributor.authorMichael Mapunduen
dc.contributor.authorChodziwadziwa Kabudulaen
dc.contributor.authorEustasius Musengeen
dc.contributor.authorV Olagoen
dc.contributor.authorTurgay Celiken
dc.date.accessioned2024-11-18T10:49:59Z
dc.date.available2024-11-18T10:49:59Z
dc.facultyFACULTY OF HEALTH SCIENCESen
dc.identifier.citationWOSen
dc.identifier.issn1932-6203en
dc.identifier.urihttps://hdl.handle.net/10539/42672
dc.journal.titleText mining of verbal autopsy narratives to extract mortality causes and most prevalent diseases using natural language processingen
dc.journal.volume19en
dc.titleText mining of verbal autopsy narratives to extract mortality causes and most prevalent diseases using natural language processingen
dc.typeJournal Articleen
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Journal Article.pdf
Size:
3.01 MB
Format:
Adobe Portable Document Format
Description:
Bitstream uploaded by REST Client
Download
Collections
Academic Wits Research Outputs (All submissions)