Marcus Eng Hock Ong
Dados Biográficos
| ID | 7746514 |
|---|---|
| NOME | Marcus Eng Hock Ong |
| PRENOMES | Marcus Eng Hock |
| SOBRENOME | Ong |
| ASSINATURA | ONG M E H |
| AFILIAÇÕES | Singapore General Hospital |
| ORCID | 0000-0001-7874-7612 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 18 |
| TOTAL DE CITAÇÕES | 1 |
| TOTAL COMO AUTOR | 18 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2014 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 1 |
Utilising artificial intelligence in prehospital emergency care systems in low- and middle-income countries
Introduction: Improvements in prehospital emergency care have the potential to transform patient outcomes globally, but particularly within low-and middle-income countries. Whilst artificial intelligence is being implemented in many healthcare settings, little is known about its use in prehospital emergency care systems. This scoping review aims to uncover how artificial intelligence is currently being used within the prehospital emergency medica…
Systematic review of the barriers and facilitators to the implementation of non-pneumatic antishock garments in low- and middle-income countries
Machine learning for sudden cardiac death prediction among older adults using community-based electronic health records
ML models can significantly enhance the prediction of SCD risk using community-based EHRs. Our proposed risk model may enable the identification of high-risk individuals among older adults, facilitating targeted interventions and personalized care strategies. Future research should focus on integrating this model into routine primary care workflows and evaluating its effectiveness in real-world settings
Influence of ambient temperature and absolute humidity on sudden cardiac arrest in Singapore
Background Global warming is expected to increase the risk of cardiovascular morbidity and mortality. The effects of climate variability on sudden cardiac arrest (SCA) have not been studied in tropical climates. We aimed to study this in Singapore, a city-state with a tropical climate. Methods We included all nationally reported SCA cases from 1 April 2010 to 31 December 2021. Using negative binomial regression adjusted for long-term trend, perio…
Clustering of Environmental Parameters and the Risk of Acute Ischaemic Stroke
Acute ischaemic stroke (AIS) risk on days with similar environmental profiles remains unknown. We investigated the association between clusters of days with similar environmental parameters and AIS incidence in Singapore. We grouped calendar days from 2010 to 2015 with similar rainfall, temperature, wind speed, and Pollutant Standards Index (PSI) using k-means clustering. Three distinct clusters were formed 'Cluster 1' containing high wind speed,…
An Agile Systems Modeling Framework for Bed Resource Planning During Covid-19 Pandemic in Singapore
Background: The COVID-19 pandemic has had a major impact on health systems globally. The sufficiency of hospitals' bed resource is a cornerstone for access to care which can significantly impact the public health outcomes. Objective: We describe the development of a dynamic simulation framework to support agile resource planning during the COVID-19 pandemic in Singapore. Materials and Methods: The study data were derived from the Singapore Genera…
Nationwide Alcohol‐related visits In Singapore's Emergency departments ( Naise )
The Psychological Well-Being of Southeast Asian Frontline Healthcare Workers during Covid-19
Job burnout remains a foremost issue among HCWs. Potential opportunities to improve HCW wellness are discussed
Ambient Air Quality and Emergency Hospital Admissions in Singapore
Air pollution exposure may increase the demand for emergency healthcare services, particularly in South-East Asia, where the burden of air-pollution-related health impacts is high. This article aims to investigate the association between air quality and emergency hospital admissions in Singapore. Quasi-Poisson regression was applied with a distributed lag non-linear model (DLNM) to assess the short-term associations between air quality variations…
Clustering of Environmental Parameters and the Risk of Acute Myocardial Infarction
The association between days with similar environmental parameters and cardiovascular events is unknown. We investigate the association between clusters of environmental parameters and acute myocardial infarction (AMI) risk in Singapore. Using k-means clustering and conditional Poisson models, we grouped calendar days from 2010 to 2015 based on rainfall, temperature, wind speed and the Pollutant Standards Index (PSI) and compared the incidence ra…
Improving Psychological Comfort of Paramedics for Field Termination of Resuscitation through Structured Training
This study examines the impact of a newly developed structured training on Singapore paramedics' psychological comfort before the implementation of a prehospital termination of resuscitation (TOR) protocol. Following a before and after study design, the paramedics underwent a self-administered questionnaire to assess their psychological comfort level applying the TOR protocol, 22 months before and one month after a 3-h structured training session…
Impact of Covid-19 on Out-of-Hospital Cardiac Arrest in Singapore
This study aimed to evaluate the impact of the Coronavirus Disease 2019 (COVID-19) pandemic on out-of-hospital cardiac arrest (OHCA) in Singapore. We used data from the Singapore Civil Defence Force to compare the incidence, characteristics and outcomes of all Emergency Medical Services (EMS)-attended adult OHCA during the pandemic (January-May 2020) and pre-pandemic (January-May 2018 and 2019) periods. Pre-hospital return of spontaneous circulat…
A Weakly-Supervised Named Entity Recognition Machine Learning Approach for Emergency Medical Services Clinical Audit
Clinical performance audits are routinely performed in Emergency Medical Services (EMS) to ensure adherence to treatment protocols, to identify individual areas of weakness for remediation, and to discover systemic deficiencies to guide the development of the training syllabus. At present, these audits are performed by manual chart review, which is time-consuming and laborious. In this paper, we report a weakly-supervised machine learning approac…
Leveraging open data to reconstruct the Singapore Housing Index and other building-level markers of socioeconomic status for health services research
SHI, a useful tool for health services research, can be accurately reconstructed using open datasets at no cost. This method is a convenient means for future researchers to obtain updated building-level markers of socioeconomic status for policy and research
Leveraging Machine Learning Techniques and Engineering of Multi-Nature Features for National Daily Regional Ambulance Demand Prediction
The accurate prediction of ambulance demand provides great value to emergency service providers and people living within a city. It supports the rational and dynamic allocation of ambulances and hospital staffing, and ensures patients have timely access to such resources. However, this task has been challenging due to complex multi-nature dependencies and nonlinear dynamics within ambulance demand, such as spatial characteristics involving the re…
Combining Heart Rate Variability with Disease Severity Score Variables for Mortality Risk Stratification in Septic Patients Presenting at the Emergency Department
The emergency department (ED) serves as the first point of hospital contact for many septic patients, where risk-stratification would be invaluable. We devised a combination model incorporating demographic, clinical, and heart rate variability (HRV) parameters, alongside individual variables of the Sequential Organ Failure Assessment (SOFA), Acute Physiology and Chronic Health Evaluation II (APACHE II), and Mortality in Emergency Department Sepsi…
Buckling up in Singapore
While overall seatbelt compliance in our study is high, efforts can be made to increase compliance for morning rush hour passengers, rear seat passengers, and occupants of buses, heavy transport vehicles, and vans or pickups
Time series analysis of demographic and temporal trends of tuberculosis in Singapore
The study found that despite an increasing size of non-resident population, TB risk among non-residents was decreasing at a rate of about 3% per year. There was an apparent seasonality in the TB reporting
Influence of ambient temperature and absolute humidity on sudden cardiac arrest in Singapore
Background Global warming is expected to increase the risk of cardiovascular morbidity and mortality. The effects of climate variability on sudden cardiac arrest (SCA) have not been studied in tropical climates. We aimed to study this in Singapore, a city-state with a tropical climate. Methods We included all nationally reported SCA cases from 1 April 2010 to 31 December 2021. Using negative binomial regression adjusted for long-term trend, perio…
Time series analysis of demographic and temporal trends of tuberculosis in Singapore
The study found that despite an increasing size of non-resident population, TB risk among non-residents was decreasing at a rate of about 3% per year. There was an apparent seasonality in the TB reporting
Buckling up in Singapore
While overall seatbelt compliance in our study is high, efforts can be made to increase compliance for morning rush hour passengers, rear seat passengers, and occupants of buses, heavy transport vehicles, and vans or pickups
Combining Heart Rate Variability with Disease Severity Score Variables for Mortality Risk Stratification in Septic Patients Presenting at the Emergency Department
The emergency department (ED) serves as the first point of hospital contact for many septic patients, where risk-stratification would be invaluable. We devised a combination model incorporating demographic, clinical, and heart rate variability (HRV) parameters, alongside individual variables of the Sequential Organ Failure Assessment (SOFA), Acute Physiology and Chronic Health Evaluation II (APACHE II), and Mortality in Emergency Department Sepsi…
Leveraging Machine Learning Techniques and Engineering of Multi-Nature Features for National Daily Regional Ambulance Demand Prediction
The accurate prediction of ambulance demand provides great value to emergency service providers and people living within a city. It supports the rational and dynamic allocation of ambulances and hospital staffing, and ensures patients have timely access to such resources. However, this task has been challenging due to complex multi-nature dependencies and nonlinear dynamics within ambulance demand, such as spatial characteristics involving the re…
Improving Psychological Comfort of Paramedics for Field Termination of Resuscitation through Structured Training
This study examines the impact of a newly developed structured training on Singapore paramedics' psychological comfort before the implementation of a prehospital termination of resuscitation (TOR) protocol. Following a before and after study design, the paramedics underwent a self-administered questionnaire to assess their psychological comfort level applying the TOR protocol, 22 months before and one month after a 3-h structured training session…
Impact of Covid-19 on Out-of-Hospital Cardiac Arrest in Singapore
This study aimed to evaluate the impact of the Coronavirus Disease 2019 (COVID-19) pandemic on out-of-hospital cardiac arrest (OHCA) in Singapore. We used data from the Singapore Civil Defence Force to compare the incidence, characteristics and outcomes of all Emergency Medical Services (EMS)-attended adult OHCA during the pandemic (January-May 2020) and pre-pandemic (January-May 2018 and 2019) periods. Pre-hospital return of spontaneous circulat…
A Weakly-Supervised Named Entity Recognition Machine Learning Approach for Emergency Medical Services Clinical Audit
Clinical performance audits are routinely performed in Emergency Medical Services (EMS) to ensure adherence to treatment protocols, to identify individual areas of weakness for remediation, and to discover systemic deficiencies to guide the development of the training syllabus. At present, these audits are performed by manual chart review, which is time-consuming and laborious. In this paper, we report a weakly-supervised machine learning approac…
Leveraging open data to reconstruct the Singapore Housing Index and other building-level markers of socioeconomic status for health services research
SHI, a useful tool for health services research, can be accurately reconstructed using open datasets at no cost. This method is a convenient means for future researchers to obtain updated building-level markers of socioeconomic status for policy and research
An Agile Systems Modeling Framework for Bed Resource Planning During Covid-19 Pandemic in Singapore
Background: The COVID-19 pandemic has had a major impact on health systems globally. The sufficiency of hospitals' bed resource is a cornerstone for access to care which can significantly impact the public health outcomes. Objective: We describe the development of a dynamic simulation framework to support agile resource planning during the COVID-19 pandemic in Singapore. Materials and Methods: The study data were derived from the Singapore Genera…
Nationwide Alcohol‐related visits In Singapore's Emergency departments ( Naise )
The Psychological Well-Being of Southeast Asian Frontline Healthcare Workers during Covid-19
Job burnout remains a foremost issue among HCWs. Potential opportunities to improve HCW wellness are discussed
Ambient Air Quality and Emergency Hospital Admissions in Singapore
Air pollution exposure may increase the demand for emergency healthcare services, particularly in South-East Asia, where the burden of air-pollution-related health impacts is high. This article aims to investigate the association between air quality and emergency hospital admissions in Singapore. Quasi-Poisson regression was applied with a distributed lag non-linear model (DLNM) to assess the short-term associations between air quality variations…
Clustering of Environmental Parameters and the Risk of Acute Myocardial Infarction
The association between days with similar environmental parameters and cardiovascular events is unknown. We investigate the association between clusters of environmental parameters and acute myocardial infarction (AMI) risk in Singapore. Using k-means clustering and conditional Poisson models, we grouped calendar days from 2010 to 2015 based on rainfall, temperature, wind speed and the Pollutant Standards Index (PSI) and compared the incidence ra…
Clustering of Environmental Parameters and the Risk of Acute Ischaemic Stroke
Acute ischaemic stroke (AIS) risk on days with similar environmental profiles remains unknown. We investigated the association between clusters of days with similar environmental parameters and AIS incidence in Singapore. We grouped calendar days from 2010 to 2015 with similar rainfall, temperature, wind speed, and Pollutant Standards Index (PSI) using k-means clustering. Three distinct clusters were formed 'Cluster 1' containing high wind speed,…
Utilising artificial intelligence in prehospital emergency care systems in low- and middle-income countries
Introduction: Improvements in prehospital emergency care have the potential to transform patient outcomes globally, but particularly within low-and middle-income countries. Whilst artificial intelligence is being implemented in many healthcare settings, little is known about its use in prehospital emergency care systems. This scoping review aims to uncover how artificial intelligence is currently being used within the prehospital emergency medica…
Systematic review of the barriers and facilitators to the implementation of non-pneumatic antishock garments in low- and middle-income countries
Machine learning for sudden cardiac death prediction among older adults using community-based electronic health records
ML models can significantly enhance the prediction of SCD risk using community-based EHRs. Our proposed risk model may enable the identification of high-risk individuals among older adults, facilitating targeted interventions and personalized care strategies. Future research should focus on integrating this model into routine primary care workflows and evaluating its effectiveness in real-world settings
Influence of ambient temperature and absolute humidity on sudden cardiac arrest in Singapore
Background Global warming is expected to increase the risk of cardiovascular morbidity and mortality. The effects of climate variability on sudden cardiac arrest (SCA) have not been studied in tropical climates. We aimed to study this in Singapore, a city-state with a tropical climate. Methods We included all nationally reported SCA cases from 1 April 2010 to 31 December 2021. Using negative binomial regression adjusted for long-term trend, perio…
Medicine (16 obras) · Demography (9 obras) · Internal Medicine (8 obras) · Demography (7 obras) · Emergency Medicine (6 obras) · Environmental health (6 obras) · Public health (5 obras) · Cardiac Arrest and Resuscitation (4 obras) · Climate Change and Health Impacts (4 obras) · Computer Science (4 obras)