Marcus Eng Hock Ong
Orcid: 0000-0001-7874-7612
According to our database1,
Marcus Eng Hock Ong
authored at least 52 papers
between 2008 and 2024.
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Bibliography
2024
Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission.
CoRR, 2024
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare.
CoRR, 2024
Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data.
CoRR, 2024
2023
Federated and distributed learning applications for electronic health records and structured medical data: a scoping review.
J. Am. Medical Informatics Assoc., November, 2023
J. Biomed. Informatics, October, 2023
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.
Artif. Intell. Medicine, August, 2023
HRnV-Calc: A Software for Heart Rate n-Variability and Heart Rate Variability Analysis.
J. Open Source Softw., July, 2023
Viewing the Role of Alternate Care Service Pathways in the Emergency Care System through a Causal Loop Diagram Lens.
Syst., May, 2023
Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches.
CoRR, 2023
Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist.
CoRR, 2023
CoRR, 2023
2022
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data.
J. Biomed. Informatics, 2022
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies.
J. Biomed. Informatics, 2022
AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data.
J. Biomed. Informatics, 2022
Resuming elective surgery after COVID-19: A simulation modelling framework for guiding the phased opening of operating rooms.
Int. J. Medical Informatics, 2022
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.
CoRR, 2022
Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making.
CoRR, 2022
Simulation-Based Analysis of Evacuation Elevator Allocation for a Multi-Level Hospital Emergency Department.
Proceedings of the Winter Simulation Conference, 2022
Benchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records.
Proceedings of the AMIA 2022, 2022
AutoScore-Ordinal: An Interpretable Machine Learning Framework for Generating Scoring Models for Ordinal Outcomes.
Proceedings of the AMIA 2022, 2022
A Novel Interpretable Machine Learning System to Generate Clinical Risk Scores: An Application for Predicting Early Mortality or Unplanned Readmission in A Retrospective Cohort Study.
Proceedings of the AMIA 2022, 2022
2021
Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records.
CoRR, 2021
HRnV-Calc: A software package for heart rate n-variability and heart rate variability analysis.
CoRR, 2021
Proceedings of the Winter Simulation Conference, 2021
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Development and Validation of a Survival Score for the Emergency Department in Singapore.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020
Proceedings of the Computational Science - ICCS 2020, 2020
Proceedings of the Computational Science - ICCS 2020, 2020
2019
A Novel Picture Fingerprinting Technique to Provide Practical Indoor Localization for Wheelchair Users.
Proceedings of the HCI International 2019 - Posters - 21st International Conference, 2019
Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, 2019
Serial Heart Rate Variability Measures for Risk Prediction of Septic Patients in the Emergency Department.
Proceedings of the AMIA 2019, 2019
2018
A Novel Approach for Assessing Power Wheelchair Users' Mobility by Using Curve Fitting.
Proceedings of the Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management, 2018
Predictive Modeling of Hospital Readmissions with Sparse Bayesian Extreme Learning Machine.
Proceedings of ELM 2018, 2018
2017
BMC Medical Informatics Decis. Mak., 2017
Simulation-based decision support framework for dynamic ambulance redeployment in Singapore.
Int. J. Medical Informatics, 2017
Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events.
Cogn. Comput., 2017
A Feasible and Terrain-Insensitive Approach for Analyzing Power Wheelchair Users' Mobility.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
2015
Landmark recognition with sparse representation classification and extreme learning machine.
J. Frankl. Inst., 2015
Manifold ranking based scoring system with its application to cardiac arrest prediction: A retrospective study in emergency department patients.
Comput. Biol. Medicine, 2015
Multi-objective optimization for a hospital inpatient flow process via discrete event simulation.
Proceedings of the 2015 Winter Simulation Conference, 2015
Effects of two new features of approximate entropy and sample entropy on cardiac arrest prediction.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015
2014
Risk Scoring for Prediction of Acute Cardiac Complications from Imbalanced Clinical Data.
IEEE J. Biomed. Health Informatics, 2014
Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection.
BMC Medical Informatics Decis. Mak., 2014
2012
IEEE Trans. Inf. Technol. Biomed., 2012
2011
J. Signal Process. Syst., 2011
2008
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2008