Marcus Eng Hock Ong

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 49

Top Topics

Electronic Health Records

Emergency Department

Top Venues

J. Biomed. Informatics

Publications

Ziwen Wang, Jin Wee Lee, Tanujit Chakraborty, Yilin Ning, Mingxuan Liu, Feng Xie, Marcus Eng Hock Ong, Nan Liu
Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission. CoRR (2024)
Mingxuan Liu, Yilin Ning, Yuhe Ke, Yuqing Shang, Bibhas Chakraborty, Marcus Eng Hock Ong, Roger Vaughan, Nan Liu
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare. CoRR (2024)
Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
Towards Clinical AI Fairness: Filling Gaps in the Puzzle. CoRR (2024)
Siqi Li, Yuqing Shang, Ziwen Wang, Qiming Wu, Chuan Hong, Yilin Ning, Di Miao, Marcus Eng Hock Ong, Bibhas Chakraborty, Nan Liu
Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data. CoRR (2024)
Yilin Ning, Salinelat Teixayavong, Yuqing Shang, Julian Savulescu, Vaishaanth Nagaraj, Di Miao, Mayli Mertens, Daniel Shu Wei Ting, Jasmine Chiat Ling Ong, Mingxuan Liu, Jiuwen Cao, Michael Dunn, Roger Vaughan, Marcus Eng Hock Ong, Joseph Jao-Yiu Sung, Eric J. Topol, Nan Liu
Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist. CoRR (2023)
Yilin Ning, Victor Volovici, Marcus Eng Hock Ong, Benjamin Alan Goldstein, Nan Liu
A roadmap to fair and trustworthy prediction model validation in healthcare. CoRR (2023)
Siqi Li, Di Miao, Qiming Wu, Chuan Hong, Danny D'Agostino, Xin Li, Yilin Ning, Yuqing Shang, Huazhu Fu, Marcus Eng Hock Ong, Hamed Haddadi, Nan Liu
Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches. CoRR (2023)
Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
A translational perspective towards clinical AI fairness. npj Digit. Medicine 6 (2023)
Siqi Li, Pinyan Liu, Gustavo G. Nascimento, Xinru Wang, Fabio Renato Manzolli Leite, Bibhas Chakraborty, Chuan Hong, Yilin Ning, Feng Xie, Zhen Ling Teo, Daniel Shu Wei Ting, Hamed Haddadi, Marcus Eng Hock Ong, Marco Aurélio Peres, Nan Liu
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review. CoRR (2023)
Chenglin Niu, Dagang Guo, Marcus Eng Hock Ong, Zhixiong Koh, Guerry Alexiane Laure Marie-Alix, Andrew Fu Wah Ho, Zhiping Lin, Chengyu Liu, Gari D. Clifford, Nan Liu
HRnV-Calc: A Software for Heart Rate n-Variability and Heart Rate Variability Analysis. J. Open Source Softw. 8 (87) (2023)
Siqi Li, Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Chuan Hong, Feng Xie, Han Yuan, Mingxuan Liu, Daniel M. Buckland, Yong Chen, Nan Liu
FedScore: A privacy-preserving framework for federated scoring system development. J. Biomed. Informatics 146 (2023)
Ashish Kumar, Zhenghong Liu, John Pastor Ansah, Yih Yng Ng, Benjamin Sieu-Hon Leong, David Bruce Matchar, Marcus Eng Hock Ong, Fahad Javaid Siddiqui
Viewing the Role of Alternate Care Service Pathways in the Emergency Care System through a Causal Loop Diagram Lens. Syst. 11 (5) (2023)
Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
Towards clinical AI fairness: A translational perspective. CoRR (2023)
Mingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Yuqing Shang, Victor Volovici, Bibhas Chakraborty, Nan Liu
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. Artif. Intell. Medicine 142 (2023)
Siqi Li, Pinyan Liu, Gustavo G. Nascimento, Xinru Wang, Fabio Renato Manzolli Leite, Bibhas Chakraborty, Chuan Hong, Yilin Ning, Feng Xie, Zhen Ling Teo, Daniel Shu Wei Ting, Hamed Haddadi, Marcus Eng Hock Ong, Marco Aurélio Peres, Nan Liu
Federated and distributed learning applications for electronic health records and structured medical data: a scoping review. J. Am. Medical Informatics Assoc. 30 (12) (2023)
Siqi Li, Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Chuan Hong, Feng Xie, Han Yuan, Mingxuan Liu, Daniel M. Buckland, Yong Chen, Nan Liu
FedScore: A privacy-preserving framework for federated scoring system development. CoRR (2023)
Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu
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. CoRR (2022)
Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu
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. AMIA (2022)
Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Benjamin Alan Goldstein, Daniel Shu Wei Ting, Roger Vaughan, Nan Liu
Shapley variable importance cloud for interpretable machine learning. Patterns 3 (4) (2022)
Seyed Ehsan Saffari, Yilin Ning, Feng Xie, Bibhas Chakraborty, Victor Volovici, Roger Vaughan, Marcus Eng Hock Ong, Nan Liu
AutoScore-Ordinal: An Interpretable Machine Learning Framework for Generating Scoring Models for Ordinal Outcomes. AMIA (2022)
Feng Xie, Han Yuan, Yilin Ning, Marcus Eng Hock Ong, Mengling Feng, Wynne Hsu, Bibhas Chakraborty, Nan Liu
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies. J. Biomed. Informatics 126 (2022)
Seyed Ehsan Saffari, Yilin Ning, Xie Feng, Bibhas Chakraborty, Victor Volovici, Roger Vaughan, Marcus Eng Hock Ong, Nan Liu
AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomes. CoRR (2022)
Han Yuan, Feng Xie, Marcus Eng Hock Ong, Yilin Ning, Marcel Lucas Chee, Seyed Ehsan Saffari, Hairil Rizal Abdullah, Benjamin Alan Goldstein, Bibhas Chakraborty, Nan Liu
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data. J. Biomed. Informatics 129 (2022)
Boyi Su, Jaeyoung Kwak, Ahmad Reza Pourghaderi, Michael Harold Lees, Kenneth B. K. Tan, Shin Yi Loo, Ivan S. Y. Chua, Joy L. J. Quah, Wentong Cai, Marcus Eng Hock Ong
Simulation-Based Analysis of Evacuation Elevator Allocation for a Multi-Level Hospital Emergency Department. WSC (2022)
Hairil Rizal Abdullah, Sean Shao Wei Lam, Boon Yew Ang, Ahmadreza Pourghaderi, Francis Ngoc Hoang Long Nguyen, David Bruce Matchar, Hiang Khoon Tan, Marcus Eng Hock Ong
Resuming elective surgery after COVID-19: A simulation modelling framework for guiding the phased opening of operating rooms. Int. J. Medical Informatics 158 (February) (2022)
Mingxuan Liu, Yilin Ning, Han Yuan, Marcus Eng Hock Ong, Nan Liu
Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making. CoRR (2022)
Mingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Victor Volovici, Bibhas Chakraborty, Nan Liu
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. CoRR (2022)
Feng Xie, Yilin Ning, Han Yuan, Benjamin Alan Goldstein, Marcus Eng Hock Ong, Nan Liu, Bibhas Chakraborty
AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data. J. Biomed. Informatics 125 (2022)
Feng Xie, Han Yuan, Yilin Ning, Marcus Eng Hock Ong, Mengling Feng, Wynne Hsu, Bibhas Chakraborty, Nan Liu
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies. CoRR (2021)
Feng Xie, Yilin Ning, Han Yuan, Benjamin Alan Goldstein, Marcus Eng Hock Ong, Nan Liu, Bibhas Chakraborty
AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data. CoRR (2021)
Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Benjamin Alan Goldstein, Daniel Shu Wei Ting, Roger Vaughan, Nan Liu
Shapley variable importance clouds for interpretable machine learning. CoRR (2021)
Chenglin Niu, Dagang Guo, Marcus Eng Hock Ong, Zhixiong Koh, Andrew Fu Wah Ho, Zhiping Lin, Chengyu Liu, Gari D. Clifford, Nan Liu
HRnV-Calc: A software package for heart rate n-variability and heart rate variability analysis. CoRR (2021)
Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu
Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records. CoRR (2021)
Boyi Su, Jaeyoung Kwak, Ahmadreza Pourghaderi, Michael Harold Lees, Kenneth B. K. Tan, Shin Yi Loo, Ivan S. Y. Chua, Joy L. J. Quah, Wentong Cai, Marcus Eng Hock Ong
A Model-based Analysis of Evacuation Strategies in Hospital Emergency Departments. WSC (2021)
Han Yuan, Feng Xie, Marcus Eng Hock Ong, Yilin Ning, Marcel Lucas Chee, Seyed Ehsan Saffari, Hairil Rizal Abdullah, Benjamin Alan Goldstein, Bibhas Chakraborty, Nan Liu
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data. CoRR (2021)
Min Min Chan, Amanda Yun Rui Lam, David Carmody, Marcus Eng Hock Ong, Yingtian Zou, Wynne Hsu, Mong-Li Lee
Recurrent Temporal Point Process Network for First and Repeated Clinical Events. ICTAI (2021)
Feng Xie, Bibhas Chakraborty, Nan Liu, Marcus Eng Hock Ong
Development and Validation of a Survival Score for the Emergency Department in Singapore. AMIA (2021)
Ivan Derevitskii, Nikita Kogtikov, Michael Harold Lees, Wentong Cai, Marcus Eng Hock Ong
Risk-Based AED Placement - Singapore Case. ICCS (4) (2020)
Nan Liu, Andrew Fu Wah Ho, Pin Pin Pek, Tsung-Chien Lu, Pairoj Khruekarnchana, Kyoung Jun Song, Hideharu Tanaka, Ghulam Yasin Naroo, Han Nee Gan, Zhixiong Koh, Huei-Ming Ma, Marcus Eng Hock Ong
Prediction of ROSC After Cardiac Arrest Using Machine Learning. MIE (2020)
Jaeyoung Kwak, Michael Harold Lees, Wentong Cai, Marcus Eng Hock Ong
Modeling Helping Behavior in Emergency Evacuations Using Volunteer's Dilemma Game. ICCS (1) (2020)
Jicheng Fu, Paul Wiechmann, Marcus Eng Hock Ong, Gang Qian, Yan Daniel Zhao
A Novel Picture Fingerprinting Technique to Provide Practical Indoor Localization for Wheelchair Users. HCI (34) (2019)
Calvin Chiew, Han Wang, Marcus Eng Hock Ong, Ting Hway Wong, Zhixiong Koh, Nan Liu, Mengling Feng
Serial Heart Rate Variability Measures for Risk Prediction of Septic Patients in the Emergency Department. AMIA (2019)
Alwin Yaoxian Zhang, Sean Shao Wei Lam, Marcus Eng Hock Ong, Phua Hwee Tang, Ling Ling Chan
Explainable AI: Classification of MRI Brain Scans Orders for Quality Improvement. BDCAT (2019)
Jicheng Fu, Fang Li, Marcus Eng Hock Ong, Tyler Cook, Gang Qian, Yan Daniel Zhao
A Novel Approach for Assessing Power Wheelchair Users' Mobility by Using Curve Fitting. HCI (17) (2018)
Nan Liu, Lian Leng Low, Sean Shao Wei Lam, Julian Thumboo, Marcus Eng Hock Ong
Predictive Modeling of Hospital Readmissions with Sparse Bayesian Extreme Learning Machine. ELM (2018)
Lian Leng Low, Nan Liu, Kheng Hock Lee, Marcus Eng Hock Ong, Sijia Wang, Xuan Jing, Julian Thumboo
FAM-FACE-SG: a score for risk stratification of frequent hospital admitters. BMC Medical Informatics Decis. Mak. 17 (1) (2017)
Fang Li, Marcus Eng Hock Ong, Yan Daniel Zhao, Gang Qian, Jicheng Fu
A Feasible and Terrain-Insensitive Approach for Analyzing Power Wheelchair Users' Mobility. ICTAI (2017)
Nan Liu, Jeffrey Tadashi Sakamoto, Jiuwen Cao, Zhixiong Koh, Andrew Fu Wah Ho, Zhiping Lin, Marcus Eng Hock Ong
Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events. Cogn. Comput. 9 (4) (2017)
Sean Shao Wei Lam, Clarence Boon Liang Ng, Francis Ngoc Hoang Long Nguyen, Yih Yng Ng, Marcus Eng Hock Ong
Simulation-based decision support framework for dynamic ambulance redeployment in Singapore. Int. J. Medical Informatics 106 (2017)
Jiuwen Cao, Yanfei Zhao, Xiaoping Lai, Marcus Eng Hock Ong, Chun Yin, Zhixiong Koh, Nan Liu
Landmark recognition with sparse representation classification and extreme learning machine. J. Frankl. Inst. 352 (10) (2015)
Yang Wang, Loo Hay Lee, Ek Peng Chew, Sean Shao Wei Lam, Seng Kee Low, Marcus Eng Hock Ong, Haobin Li
Multi-objective optimization for a hospital inpatient flow process via discrete event simulation. WSC (2015)
Yumeng Gao, Zhiping Lin, Tongtong Zhang, Nan Liu, Tianchi Liu, Wee Ser, Zhixiong Koh, Marcus Eng Hock Ong
Effects of two new features of approximate entropy and sample entropy on cardiac arrest prediction. ISCAS (2015)
Nan Liu, Jiuwen Cao, Zhixiong Koh, Zhiping Lin, Marcus Eng Hock Ong
Analysis of patient outcome using ECG and extreme learning machine ensemble. DSP (2015)
Tianchi Liu, Zhiping Lin, Marcus Eng Hock Ong, Zhixiong Koh, Pin Pin Pek, Yong Kiang Yeo, Beom-Seok Oh, Andrew Fu Wah Ho, Nan Liu
Manifold ranking based scoring system with its application to cardiac arrest prediction: A retrospective study in emergency department patients. Comput. Biol. Medicine 67 (2015)
Nan Liu, Zhi Koh, Junyang Goh, Zhiping Lin, Benjamin Haaland, Boon Ting, Marcus Eng Hock Ong
Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection. BMC Medical Informatics Decis. Mak. 14 (2014)
Nan Liu, Zhixiong Koh, Eric Chern-Pin Chua, Licia Mei-Ling Tan, Zhiping Lin, Bilal Mirza, Marcus Eng Hock Ong
Risk Scoring for Prediction of Acute Cardiac Complications from Imbalanced Clinical Data. IEEE J. Biomed. Health Informatics 18 (6) (2014)
Nan Liu, Zhiping Lin, Jiuwen Cao, Zhixiong Koh, Tongtong Zhang, Guang-Bin Huang, Wee Ser, Marcus Eng Hock Ong
An Intelligent Scoring System and Its Application to Cardiac Arrest Prediction. IEEE Trans. Inf. Technol. Biomed. 16 (6) (2012)
Nan Liu, Zhiping Lin, Zhixiong Koh, Guang-Bin Huang, Wee Ser, Marcus Eng Hock Ong
Patient Outcome Prediction with Heart Rate Variability and Vital Signs. J. Signal Process. Syst. 64 (2) (2011)
Pavitra Padmanabhan, Zhiping Lin, Guang-Bin Huang, Marcus Eng Hock Ong
Patient classification based on pre-hospital heart rate variability. APCCAS (2008)