# | Title | Journal | Year | Citations |
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1 | Simulation-based learning: Just like the real thing | Journal of Emergencies, Trauma and Shock | 2010 | 521 |
2 | Voting based extreme learning machine | Information Sciences | 2012 | 311 |
3 | Out-of-hospital cardiac arrest across the World: First report from the International Liaison Committee on Resuscitation (ILCOR) | Resuscitation | 2020 | 295 |
4 | Ensemble Based Extreme Learning Machine | IEEE Signal Processing Letters | 2010 | 217 |
5 | Dispatcher-assisted bystander cardiopulmonary resuscitation in a metropolitan city: A before–after population-based study | Resuscitation | 2014 | 154 |
6 | Ensemble of subset online sequential extreme learning machine for class imbalance and concept drift | Neurocomputing | 2015 | 134 |
7 | Pan-Asian Resuscitation Outcomes Study (PAROS): Rationale, Methodology, and Implementation | Academic Emergency Medicine | 2011 | 121 |
8 | Comparison of chest compression only and standard cardiopulmonary resuscitation for out-of-hospital cardiac arrest in Singapore | Resuscitation | 2008 | 120 |
9 | Patient expectations and the paradigm shift of care in emergency medicine | Journal of Emergencies, Trauma and Shock | 2011 | 113 |
10 | Effect of Dispatcher-Assisted Cardiopulmonary Resuscitation Program and Location of Out-of-Hospital Cardiac Arrest on Survival and Neurologic Outcome | Annals of Emergency Medicine | 2017 | 110 |
11 | Epidemiology and outcomes from non-traumatic out-of-hospital cardiac arrest in Korea: A nationwide observational study | Resuscitation | 2010 | 106 |
12 | Containing COVID‐19 in the Emergency Department: The Role of Improved Case Detection and Segregation of Suspect Cases | Academic Emergency Medicine | 2020 | 101 |
13 | An observational, prospective study comparing tibial and humeral intraosseous access using the EZ-IO | American Journal of Emergency Medicine | 2009 | 95 |
14 | Prediction of cardiac arrest in critically ill patients presenting to the emergency department using a machine learning score incorporating heart rate variability compared with the modified early warning score | Critical Care | 2012 | 95 |
15 | Healthcare worker stress, anxiety and burnout during the COVID-19 pandemic in Singapore: A 6-month multi-centre prospective study | PLoS ONE | 2021 | 87 |
16 | Pediatric out-of-hospital cardiac arrest in Korea: A nationwide population-based study | Resuscitation | 2010 | 78 |
17 | A before–after interventional trial of dispatcher-assisted cardio-pulmonary resuscitation for out-of-hospital cardiac arrests in Singapore | Resuscitation | 2016 | 76 |
18 | Landmark recognition with sparse representation classification and extreme learning machine | Journal of the Franklin Institute | 2015 | 75 |
19 | Survival Outcomes With the Introduction of Intravenous Epinephrine in the Management of Out-of-Hospital Cardiac Arrest | Annals of Emergency Medicine | 2007 | 73 |
20 | Hospital and emergency ambulance link: using IT to enhance emergency pre-hospital care | International Journal of Medical Informatics | 2001 | 70 |
21 | Phonocardiographic Signal Analysis Method Using a Modified Hidden Markov Model | Annals of Biomedical Engineering | 2007 | 69 |
22 | Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection | BMC Medical Informatics and Decision Making | 2014 | 64 |
23 | Predicting hospital admission at the emergency department triage: A novel prediction model | American Journal of Emergency Medicine | 2019 | 64 |
24 | A randomized controlled trial comparing minichest tube and needle aspiration in outpatient management of primary spontaneous pneumothorax | American Journal of Emergency Medicine | 2011 | 62 |
25 | Modifiable Factors Associated With Survival After Out-of-Hospital Cardiac Arrest in the Pan-Asian Resuscitation Outcomes Study | Annals of Emergency Medicine | 2018 | 62 |
26 | Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department | Medicine (United States) | 2019 | 61 |
27 | The difficult airway in the emergency department | International Journal of Emergency Medicine | 2008 | 60 |
28 | Slow infusion of calcium channel blockers compared with intravenous adenosine in the emergency treatment of supraventricular tachycardia | Resuscitation | 2009 | 60 |
29 | Predicting 30-Day Readmissions: Performance of the LACE Index Compared with a Regression Model among General Medicine Patients in Singapore | BioMed Research International | 2015 | 60 |
30 | Improving the quality of cardiopulmonary resuscitation by training dedicated cardiac arrest teams incorporating a mechanical load-distributing device at the emergency department | Resuscitation | 2013 | 59 |
31 | Road traffic accident mortality in Singapore | Journal of Emergency Medicine | 2002 | 58 |
32 | C ARDIAC A RREST AND R ESUSCITATION E PIDEMIOLOGY IN S INGAPORE (CARE I S TUDY ) | Prehospital Emergency Care | 2003 | 58 |
33 | Mechanical CPR devices compared to manual CPR during out-of-hospital cardiac arrest and ambulance transport: a systematic review | Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine | 2012 | 58 |
34 | A randomised, double-blind, multi-centre trial comparing vasopressin and adrenaline in patients with cardiac arrest presenting to or in the Emergency Department | Resuscitation | 2012 | 57 |
35 | Associations between gender and cardiac arrest outcomes in Pan-Asian out-of-hospital cardiac arrest patients | Resuscitation | 2016 | 57 |
36 | Intraosseous vascular access in adults using the EZ-IO in an emergency department | International Journal of Emergency Medicine | 2009 | 56 |
37 | Current termination of resuscitation (TOR) guidelines predict neurologically favorable outcome in Japan | Resuscitation | 2013 | 55 |
38 | Interventional strategies associated with improvements in survival for out-of-hospital cardiac arrests in Singapore over 10 years | Resuscitation | 2015 | 55 |
39 | New peril on our roads: a retrospective study of electric scooter-related injuries | Singapore Medical Journal | 2020 | 55 |
40 | Comparison of emergency medical services systems in the pan‐Asian resuscitation outcomes study countries: Report from a literature review and survey | EMA - Emergency Medicine Australasia | 2013 | 54 |
41 | Barriers to dispatcher-assisted cardiopulmonary resuscitation in Singapore | Resuscitation | 2016 | 54 |
42 | Acute Health Impacts of the Southeast Asian Transboundary Haze Problem—A Review | International Journal of Environmental Research and Public Health | 2019 | 53 |
43 | Comparing HEART, TIMI, and GRACE scores for prediction of 30-day major adverse cardiac events in high acuity chest pain patients in the emergency department | International Journal of Cardiology | 2016 | 50 |
44 | Asian medical staff attitudes towards witnessed resuscitation | Resuscitation | 2004 | 49 |
45 | How accurate are vital signs in predicting clinical outcomes in critically ill emergency department patients | European Journal of Emergency Medicine | 2013 | 49 |
46 | Predictive modeling in pediatric traumatic brain injury using machine learning | BMC Medical Research Methodology | 2015 | 49 |
47 | A randomized controlled trial comparing the hair apposition technique with tissue glue to standard suturing in scalp lacerations (HAT study) | Annals of Emergency Medicine | 2002 | 48 |
48 | Secondary prevention of osteoporotic fractures—an “OPTIMAL” model of care from Singapore | Osteoporosis International | 2013 | 48 |
49 | Epidemiology and outcome of paediatric out-of-hospital cardiac arrests: A paediatric sub-study of the Pan-Asian resuscitation outcomes study (PAROS) | Resuscitation | 2018 | 47 |
50 | Reorganising the emergency department to manage the COVID-19 outbreak | International Journal of Emergency Medicine | 2020 | 46 |