eprintid: 10200401
rev_number: 18
eprint_status: archive
userid: 699
dir: disk0/10/20/04/01
datestamp: 2024-11-21 15:56:17
lastmod: 2024-12-13 14:18:12
status_changed: 2024-11-21 15:56:17
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Watson, Matthew
creators_name: Logothetis, Stelios Boulitsakis
creators_name: Green, Darren
creators_name: Holland, Mark
creators_name: Chambers, Pinkie
creators_name: Al Moubayed, Noura
title: The Performance of Machine Learning Versus the National Early Warning Score for Predicting Patient Deterioration Risk: A Single-Site Study of Emergency Admissions
ispublished: inpress
divisions: UCL
divisions: B02
divisions: C08
divisions: D10
divisions: G11
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
date: 2025-05-31
date_type: published
official_url: https://informatics.bmj.com/
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2337178
lyricists_name: Chambers, Pinkie
lyricists_id: PPCHA80
actors_name: Chambers, Pinkie
actors_name: Robertson, Victoria
actors_id: PPCHA80
actors_id: VROBE74
actors_role: owner
actors_role: impersonator
full_text_status: public
publication: BMJ Health and Care Informatics
citation:        Watson, Matthew;    Logothetis, Stelios Boulitsakis;    Green, Darren;    Holland, Mark;    Chambers, Pinkie;    Al Moubayed, Noura;      (2025)    The Performance of Machine Learning Versus the National Early Warning Score for Predicting Patient Deterioration Risk: A Single-Site Study of Emergency Admissions.                   BMJ Health and Care Informatics           (In press).    Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10200401/15/e101088.full.pdf
document_url: https://discovery.ucl.ac.uk/id/eprint/10200401/2/Supp%20Combined.pdf