Random Forest Machine Learning Matches Human Expert Accuracy in Trauma Severity Scoring

Simple item page
dc.article.end-page3247en
dc.article.start-page3242en
dc.citation.doi10.1002/WJS.70114en
dc.contributor.authorG Laingen
dc.contributor.authorJ Bruceen
dc.contributor.authorW Bekkeren
dc.contributor.authorV Mancheven
dc.contributor.authorH Wainen
dc.contributor.authorDamian Clarkeen
dc.date.accessioned2026-02-19T18:50:45Z
dc.facultyFACULTY OF HEALTH SCIENCESen
dc.identifier.citationWOSen
dc.identifier.issn0364-2313en
dc.identifier.urihttps://hdl.handle.net/10539/48202
dc.journal.titleRandom Forest Machine Learning Matches Human Expert Accuracy in Trauma Severity Scoringen
dc.journal.volume49en
dc.titleRandom Forest Machine Learning Matches Human Expert Accuracy in Trauma Severity Scoringen
dc.typeJournal Articleen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Journal Article.pdf
Size:
1011.69 KB
Format:
Adobe Portable Document Format
Description:
Bitstream uploaded by REST Client
Download

Collections

Academic Wits Research Outputs (All submissions)