title: Risk stratification for prediction of adverse coronary events in emergency department chest pain patients with a machine learning score compared with the TIMI score.
authors.affiliation: Department of Emergency Medicine, Singapore General Hospital, Singapore. Electronic address: liu.nan@sgh.com.sg.
authors.forename: Nan
authors.initials: N
authors.lastname: Liu
authors.affiliation: Centre for Quantitative Medicine, Duke-NUS Graduate Medical School, Singapore.
authors.forename: Marcus Aik Beng
authors.initials: MA
authors.lastname: Lee
authors.affiliation: SingHealth Emergency Medicine Residency Program, Singapore Health Services, Singapore.
authors.forename: Andrew Fu Wah
authors.initials: AF
authors.lastname: Ho
authors.affiliation: Centre for Quantitative Medicine, Duke-NUS Graduate Medical School, Singapore; Department of Statistics and Applied Probability, National University of Singapore, Singapore.
authors.forename: Benjamin
authors.initials: B
authors.lastname: Haaland
authors.affiliation: Division of Research, Singapore General Hospital, Singapore.
authors.forename: Stephanie
authors.initials: S
authors.lastname: Fook-Chong
authors.affiliation: Department of Emergency Medicine, Singapore General Hospital, Singapore.
authors.forename: Zhi Xiong
authors.initials: ZX
authors.lastname: Koh
authors.affiliation: Department of Emergency Medicine, Singapore General Hospital, Singapore.
authors.forename: Pin Pin
authors.initials: PP
authors.lastname: Pek
authors.affiliation: Singapore Institute of Technology, Singapore.
authors.forename: Eric Chern-Pin
authors.initials: EC
authors.lastname: Chua
authors.affiliation: SingHealth Emergency Medicine Residency Program, Singapore Health Services, Singapore.
authors.forename: Boon Ping
authors.initials: BP
authors.lastname: Ting
authors.affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.
authors.forename: Zhiping
authors.initials: Z
authors.lastname: Lin
authors.affiliation: Department of Emergency Medicine, Singapore General Hospital, Singapore; Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore.
authors.forename: Marcus Eng Hock
authors.initials: ME
authors.lastname: Ong
mesh_terms: D054058:Acute Coronary Syndrome / Q000175:diagnosis* / Q000453:epidemiology; D000368:Aged; D001185:Artificial Intelligence / Q000592:standards*; D002637:Chest Pain / Q000175:diagnosis* / Q000453:epidemiology; D004636:Emergency Service, Hospital / Q000592:standards*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000175:diagnosis* / Q000453:epidemiology; D011237:Predictive Value of Tests; D012189:Retrospective Studies; D012307:Risk Factors; D015912:Thrombolytic Therapy / Q000379:methods / Q000592:standards*
keywords: Adverse coronary events; Emergency department; Machine learning; Risk stratification; Thrombolysis in myocardial infarction