Bayon Fernandez J, Alegria Ezquerra E, Bosch Genover X, Cabades O'Callaghan A, Iglesias Garriz I, Jimenez Nacher JJ, Malpartida De Torres F, Sanz Romero G, Grupo de Trabajo ad hoc de la Seccion de Cardiopatia Isquemica y Unidades Coronarias de la Sociedad Espanola de C. Chest pain units. Organization and protocol for the diagnosis of acute coronary syndromes. Rev Esp Cardiol. 2002;55(2):143–54.
Article
PubMed
Google Scholar
Knockaert DC, Buntinx F, Stoens N, Bruyninckx R, Delooz H. Chest pain in the emergency department: the broad spectrum of causes. Eur J Emerg Med. 2002;9(1):25–30.
Article
CAS
PubMed
Google Scholar
Pope JH, Aufderheide TP, Ruthazer R, Woolard RH, Feldman JA, Beshansky JR, Griffith JL, Selker HP. Missed diagnoses of acute cardiac ischemia in the emergency department. N Engl J Med. 2000;342(16):1163–70.
Article
CAS
PubMed
Google Scholar
Six AJ, Backus BE, Kelder JC. Chest pain in the emergency room: value of the HEART score. Neth Heart J. 2008;16(6):191–6.
Article
CAS
PubMed
PubMed Central
Google Scholar
Stopyra JP, Riley RF, Hiestand BC, Russell GB, Hoekstra JW, Lefebvre CW, Nicks BA, Cline DM, Askew KL, Elliott SB, et al. The HEART pathway randomized controlled trial one-year outcomes. Acad Emerg Med. 2019;26(1):41–50.
PubMed
Google Scholar
Mahler SA, Lenoir KM, Wells BJ, Burke GL, Duncan PW, Case LD, Herrington DM, Diaz-Garelli JF, Futrell WM, Hiestand BC, et al. Safely identifying emergency department patients with acute chest pain for early discharge. Circulation. 2018;138(22):2456–68.
Article
PubMed
PubMed Central
Google Scholar
Leite L, Baptista R, Leitao J, Cochicho J, Breda F, Elvas L, Fonseca I, Carvalho A, Costa JN. Chest pain in the emergency department: risk stratification with Manchester triage system and HEART score. BMC Cardiovasc Disord. 2015;15:48.
Article
PubMed
PubMed Central
Google Scholar
MDCalc. HEART score for major cardiac events. [https://www.mdcalc.com/heart-score-major-cardiac-events]. Accessed 28 June 2020.
Than M, Flaws D, Sanders S, Doust J, Glasziou P, Kline J, Aldous S, Troughton R, Reid C, Parsonage WA, et al. Development and validation of the emergency department assessment of chest pain score and 2 h accelerated diagnostic protocol. Emerg Med Australas. 2014;26(1):34–44.
Article
PubMed
Google Scholar
Body R, Carley S, McDowell G, Pemberton P, Burrows G, Cook G, Lewis PS, Smith A, Mackway-Jones K. The Manchester acute coronary syndromes (MACS) decision rule for suspected cardiac chest pain: derivation and external validation. Heart. 2014;100(18):1462–8.
Article
PubMed
PubMed Central
Google Scholar
Jalili M, Hejripour Z, Honarmand AR, Pourtabatabaei N. Validation of the Vancouver chest pain rule: a prospective cohort study. Acad Emerg Med. 2012;19(7):837–42.
Article
PubMed
Google Scholar
Stewart J, Sprivulis P, Dwivedi G. Artificial intelligence and machine learning in emergency medicine. Emerg Med Australas. 2018;30(6):870–4.
Article
PubMed
Google Scholar
Liu N, Koh ZX, Goh J, Lin Z, Haaland B, Ting BP, Ong ME. Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection. BMC Med Inform Decis Mak. 2014;14:75.
Article
CAS
PubMed
PubMed Central
Google Scholar
Reaney PDW, Elliott HI, Noman A, Cooper JG. Risk stratifying chest pain patients in the emergency department using HEART, GRACE and TIMI scores, with a single contemporary troponin result, to predict major adverse cardiac events. Emerg Med J. 2018;35(7):420–7.
Article
PubMed
Google Scholar
Breiman L, Forests R. Mach Learn. 2001;45(1):5–32.
Article
Google Scholar
DeLaney MC, Neth M, Thomas JJ. Chest pain triage: current trends in the emergency departments in the United States. J Nucl Cardiol. 2017;24(6):2004–11.
Article
PubMed
Google Scholar
Antman EM, Cohen M, Bernink PJ, McCabe CH, Horacek T, Papuchis G, Mautner B, Corbalan R, Radley D, Braunwald E. The TIMI risk score for unstable angina/non-ST elevation MI: a method for prognostication and therapeutic decision making. JAMA. 2000;284(7):835–42.
Article
CAS
PubMed
Google Scholar
Pollack CV Jr, Sites FD, Shofer FS, Sease KL, Hollander JE. Application of the TIMI risk score for unstable angina and non-ST elevation acute coronary syndrome to an unselected emergency department chest pain population. Acad Emerg Med. 2006;13(1):13–8.
Article
PubMed
Google Scholar
Fox KA, Eagle KA, Gore JM, Steg PG, Anderson FA, Grace, Investigators G. The global registry of acute coronary events, 1999 to 2009--GRACE. Heart. 2010;96(14):1095–101.
Article
CAS
PubMed
Google Scholar
Brady W, de Souza K. The HEART score: a guide to its application in the emergency department. Turk J Emerg Med. 2018;18(2):47–51.
Article
PubMed
PubMed Central
Google Scholar
Poldervaart JM, Langedijk M, Backus BE, Dekker IMC, Six AJ, Doevendans PA, Hoes AW, Reitsma JB. Comparison of the GRACE, HEART and TIMI score to predict major adverse cardiac events in chest pain patients at the emergency department. Int J Cardiol. 2017;227:656–61.
Article
CAS
PubMed
Google Scholar
Taylor RA, Pare JR, Venkatesh AK, Mowafi H, Melnick ER, Fleischman W, Hall MK. Prediction of in-hospital mortality in emergency department patients with Sepsis: a local big data-driven, machine learning approach. Acad Emerg Med. 2016;23(3):269–78.
Article
PubMed
PubMed Central
Google Scholar
Karanasiou GS, Tripoliti EE, Papadopoulos TG, Kalatzis FG, Goletsis Y, Naka KK, Bechlioulis A, Errachid A, Fotiadis DI. Predicting adherence of patients with HF through machine learning techniques. Healthc Technol Lett. 2016;3(3):165–70.
Article
PubMed
PubMed Central
Google Scholar
Wang Y, Wu X, Chen Z, Ren F, Feng L, Du Q. Optimizing the predictive ability of machine learning methods for landslide susceptibility mapping using SMOTE for Lishui City in Zhejiang Province, China. Int J Environ Res Public Health. 2019;16(3):368.
Chawla NVB, Hall KW, Kegelmeyer LO, P W. SMOTE: synthetic minority over-sampling technique. J Artif Intell Res. 2002;16:321–57.
Article
Google Scholar
Sullivan HR, Schweikart SJ. Are current tort liability doctrines adequate for addressing injury caused by AI? AMA J Ethics. 2019;21(2):E160–6.
Article
PubMed
Google Scholar
Ho CWL, Ali J, Caals K. Ensuring trustworthy use of artificial intelligence and big data analytics in health insurance. Bull World Health Organ. 2020;98(4):263–9.
Article
PubMed
PubMed Central
Google Scholar
Taft LM, Evans RS, Shyu CR, Egger MJ, Chawla N, Mitchell JA, Thornton SN, Bray B, Varner M. Countering imbalanced datasets to improve adverse drug event predictive models in labor and delivery. J Biomed Inform. 2009;42(2):356–64.
Article
CAS
PubMed
Google Scholar