Search Results - "Ong, Eng Hock Marcus"
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AutoScore: A Machine Learning-Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records
Published in JMIR medical informatics (21-10-2020)“…Risk scores can be useful in clinical risk stratification and accurate allocations of medical resources, helping health providers improve patient care…”
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Healthcare worker stress, anxiety and burnout during the COVID-19 pandemic in Singapore: A 6-month multi-centre prospective study
Published in PloS one (22-10-2021)“…Aim The long-term stress, anxiety and job burnout experienced by healthcare workers (HCWs) are important to consider as the novel coronavirus disease…”
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Dispatcher-assisted bystander cardiopulmonary resuscitation in a metropolitan city: A before–after population-based study
Published in Resuscitation (01-01-2014)“…Abstract Background The goal of this study was to determine the effects of dispatcher-assisted bystander cardiopulmonary resuscitation (DA-CPR) on outcomes of…”
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Application of ensemble machine learning algorithms on lifestyle factors and wearables for cardiovascular risk prediction
Published in Scientific reports (20-01-2022)“…This study looked at novel data sources for cardiovascular risk prediction including detailed lifestyle questionnaire and continuous blood pressure monitoring,…”
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Effect of Dispatcher-Assisted Cardiopulmonary Resuscitation Program and Location of Out-of-Hospital Cardiac Arrest on Survival and Neurologic Outcome
Published in Annals of emergency medicine (01-01-2017)“…Study objective We study the effect of a nationwide dispatcher-assisted cardiopulmonary resuscitation (CPR) program on out-of-hospital cardiac arrest outcomes…”
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Variation in community and ambulance care processes for out-of-hospital cardiac arrest during the COVID-19 pandemic: a systematic review and meta-analysis
Published in Scientific reports (17-01-2022)“…Bystander cardiopulmonary resuscitation (BCPR), early defibrillation and timely treatment by emergency medical services (EMS) can double the chance of survival…”
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Modeling Emergency Department crowding: Restoring the balance between demand for and supply of emergency medicine
Published in PloS one (12-01-2021)“…Emergency Departments (EDs) worldwide are confronted with rising patient volumes causing significant strains on both Emergency Medicine and entire healthcare…”
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Impact of the COVID-19 pandemic on the epidemiology of out-of-hospital cardiac arrest: a systematic review and meta-analysis
Published in Annals of intensive care (07-12-2021)“…Background The coronavirus disease 2019 (COVID-19) pandemic has significantly influenced epidemiology, yet its impact on out-of-hospital cardiac arrest (OHCA)…”
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Improved neurologically favorable survival after OHCA is associated with increased pre-hospital advanced airway management at the prefecture level in Japan
Published in Scientific reports (28-11-2022)“…Out-of-hospital cardiac arrest (OHCA) has high incidence and mortality. The survival benefit of pre-hospital advanced airway management (AAM) for OHCA remains…”
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A Randomized Controlled Trial of Screening, Risk Modification and Physical Therapy to Prevent Falls among the Elderly Recently Discharged from the Emergency Department to the Community: the Steps to Avoid Falls in the Elderly Study
Published in Archives of physical medicine and rehabilitation (01-06-2017)“…Abstract Objective To evaluate the effectiveness of a multifactorial, tailored program of physical therapy to reduce the occurrence of falls among a…”
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Development and validation of an interpretable clinical score for early identification of acute kidney injury at the emergency department
Published in Scientific reports (02-05-2022)“…Acute kidney injury (AKI) in hospitalised patients is a common syndrome associated with poorer patient outcomes. Clinical risk scores can be used for the early…”
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A before–after interventional trial of dispatcher-assisted cardio-pulmonary resuscitation for out-of-hospital cardiac arrests in Singapore
Published in Resuscitation (01-05-2016)“…Abstract Aim To evaluate the effects of a comprehensive dispatcher-assisted CPR (DACPR) training program on bystander CPR (BCPR) rate and the outcomes of…”
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Predicting 30-Day Readmissions: Performance of the LACE Index Compared with a Regression Model among General Medicine Patients in Singapore
Published in BioMed research international (01-01-2015)“…The LACE index (length of stay, acuity of admission, Charlson comorbidity index, CCI, and number of emergency department visits in preceding 6 months) derived…”
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Emergency department utilisation among older adults-Protocol for a systematic review of determinants and conceptual frameworks
Published in PloS one (03-06-2022)“…Older adults aged 65 years and above have a disproportionately higher utilization of emergency healthcare, of which Emergency Department (ED) visits are a key…”
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Explainable artificial intelligence in emergency medicine: an overview
Published in Clinical and experimental emergency medicine (01-12-2023)“…Artificial intelligence (AI) and machine learning (ML) have potential to revolutionize emergency medical care by enhancing triage systems, improving diagnostic…”
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A conceptual framework for Emergency department design in a pandemic
Published in Scandinavian journal of trauma, resuscitation and emergency medicine (17-12-2020)“…The current COVID-19 pandemic is highlighting gaps around the world in the design and workflow of Emergency Departments (ED). These gaps have an impact on both…”
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Poor performance of the modified early warning score for predicting mortality in critically ill patients presenting to an emergency department
Published in World journal of emergency medicine (01-01-2013)“…BACKGROUND:This study was undertaken to validate the use of the modified early warning score(MEWS) as a predictor of patient mortality and intensive care…”
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Epidemiology and outcomes from non-traumatic out-of-hospital cardiac arrest in Korea: A nationwide observational study
Published in Resuscitation (01-08-2010)“…Abstract Objectives We aimed to describe the epidemiological features and to determine the predictors for survival to discharge of non-traumatic…”
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Towards proactive palliative care in oncology: developing an explainable EHR-based machine learning model for mortality risk prediction
Published in BMC palliative care (20-05-2024)“…Ex-ante identification of the last year in life facilitates a proactive palliative approach. Machine learning models trained on electronic health records (EHR)…”
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Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation
Published in JMIR research protocols (25-03-2022)“…There is a growing demand globally for emergency department (ED) services. An increase in ED visits has resulted in overcrowding and longer waiting times. The…”
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