Format

Send to

Choose Destination
Int J Cardiol. 2014 Dec 20;177(3):1095-7. doi: 10.1016/j.ijcard.2014.09.199. Epub 2014 Oct 7.

Risk stratification for prediction of adverse coronary events in emergency department chest pain patients with a machine learning score compared with the TIMI score.

Author information

1
Department of Emergency Medicine, Singapore General Hospital, Singapore. Electronic address: liu.nan@sgh.com.sg.
2
Centre for Quantitative Medicine, Duke-NUS Graduate Medical School, Singapore.
3
SingHealth Emergency Medicine Residency Program, Singapore Health Services, Singapore.
4
Centre for Quantitative Medicine, Duke-NUS Graduate Medical School, Singapore; Department of Statistics and Applied Probability, National University of Singapore, Singapore.
5
Division of Research, Singapore General Hospital, Singapore.
6
Department of Emergency Medicine, Singapore General Hospital, Singapore.
7
Singapore Institute of Technology, Singapore.
8
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.
9
Department of Emergency Medicine, Singapore General Hospital, Singapore; Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore.

KEYWORDS:

Adverse coronary events; Emergency department; Machine learning; Risk stratification; Thrombolysis in myocardial infarction

PMID:
25449521
DOI:
10.1016/j.ijcard.2014.09.199
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center