Marcus Eng Hock Ong

75 papers B 2C 2Misc 9Journal 52Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Author Correction: Leveraging AI and transfer learning to enhance out-of-hospital cardiac arrest outcome prediction in diverse setting. npj Digit. Medicine Siqi Li, Yohei Okada, Wenjun Gu, Michael Hao Chen, Son Ngoc Do, Quyet Dinh Pham, Quoc Ta Hoang, Marcus Eng Hock Ong, Nan Liu, Michael Y. C. Chia, Yih Yng Ng, Benjamin S. H. Leong, Han Nee Gan, Desmond R. Mao, Wei Ming Ng, Nausheen E. Doctor, Ling Tiah, Andrew Fu Wah Ho, Wei Ling Tay, Si Oon Cheah, Shun Yee Low, Lai Peng Tham, Shir Lynn Lim, Dai Quoc Khuong, Long Hoang Le, Tuan Anh Nguyen, Chinh Quoc Luong, Thang Xuan Vu, Dat Tuan Nguyen, Huan Huu Nguyen, Hung Quang To, Hai Minh Truong, Hung Trong Nguyen, Trang Thuy Nguyen
2026	J	`jnl`	Communication-Efficient Federated Risk Difference Estimation for Time-to-Event Clinical Outcomes. CoRR Ziwen Wang, Siqi Li, Marcus Eng Hock Ong, Nan Liu
2026	J	`jnl`	Toward Global Large Language Models in Medicine. CoRR Rui Yang, Huitao Li, Weihao Xuan, Heli Qi, Xin Li, Kunyu Yu, Yingjian Chen, Rongrong Wang, Jacques Behmoaras, Tianxi Cai, Bibhas Chakraborty, Qingyu Chen, Lionel Tim-Ee Cheng, Marie-Louise Damwanza, Chido Dzinotyiwei, Aosong Feng, Chuan Hong, Yusuke Iwasawa, Yuhe Ke, Linah Kitala, Taehoon Ko, Jisan Lee, Irene Li, Jonathan Chong Kai Liew, Hongfang Liu, Lian Leng Low, Edison Marrese-Taylor, Yutaka Matsuo, Isheanesu Misi, Yilin Ning, Jasmine Chiat Ling Ong, Marcus Eng Hock Ong, Enrico Petretto, Hossein Rouhizadeh, Abiram Sandralegar, Oren Schreier, Iain Bee Huat Tan, Patrick Tan, Daniel Shu Wei Ting, Junjue Wang, Chunhua Weng, Matthew Yu Heng Wong, Fang Wu, Yunze Xiao, Xuhai Xu, Qingcheng Zeng, Zhuo Zheng, Yifan Peng, Douglas Teodoro, Nan Liu
2025	J	`jnl`	A scoping review and evidence gap analysis of clinical AI fairness. npj Digit. Medicine Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jingchi Liao, 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
2025	J	`jnl`	Clinical and economic impact of a large language model in perioperative medicine: a randomized crossover trial. npj Digit. Medicine Yuhe Ke, Bernard Soon Yang Ong, Liyuan Jin, Jacqueline Sim, Chi Ho Chan, Chai Rick Soh, Danny Jon Nian Wong, Nan Liu, Ban Leong Sng, Daniel Shu Wei Ting, Su Qian Yeo, Marcus Eng Hock Ong, Hairil Rizal Abdullah
2025	J	`jnl`	Deep learning modelling to forecast emergency department visits using calendar, meteorological, internet search data and stock market price. Comput. Methods Programs Biomed. Chua Ming, Geraldine Jw Lee, Yao Neng Teo, Yao Hao Teo, Xinyan Zhou, Elizabeth Sy Ho, Emma Ms Toh, Marcus Eng Hock Ong, Benjamin Yq Tan, Andrew Fw Ho
2025	J	`jnl`	Developing federated time-to-event scores using heterogeneous real-world survival data. Comput. Biol. Medicine Siqi Li, Ziwen Wang, Yuqing Shang, Qiming Wu, Chuan Hong, Yilin Ning, Di Miao, Marcus Eng Hock Ong, Bibhas Chakraborty, Nan Liu
2025	J	`jnl`	Gender Bias in Large Language Models for Healthcare: Assignment Consistency and Clinical Implications. CoRR Mingxuan Liu, Yuhe Ke, Wentao Zhu, Mayli Mertens, Yilin Ning, Jingchi Liao, Chuan Hong, Daniel Shu Wei Ting, Yifan Peng, Danielle S. Bitterman, Marcus Eng Hock Ong, Nan Liu
2025	—	`conf`	InTriage: Intelligent Telephone Triage in Pre-Hospital Emergency Care. EMNLP (System Demonstrations) Kai He, Qika Lin, Hao Fei, Eng Siong Chng, Dehan Hong, Marcus Eng Hock Ong, Mengling Feng
2025	J	`jnl`	Leveraging AI and transfer learning to enhance out-of-hospital cardiac arrest outcome prediction in diverse setting. npj Digit. Medicine Siqi Li, Yohei Okada, Wenjun Gu, Michael Hao Chen, Son Ngoc Do, Quyet Dinh Pham, Quoc Ta Hoang, Marcus Eng Hock Ong, Nan Liu, Michael Y. C. Chia, Yih Yng Ng, Benjamin S. H. Leong, Han Nee Gan, Desmond R. Mao, Wei Ming Ng, Nausheen E. Doctor, Ling Tiah, Andrew Fu Wah Ho, Wei Ling Tay, Si Oon Cheah, Shun Yee Low, Lai Peng Tham, Shir Lynn Lim, Dai Quoc Khuong, Long Hoang Le, Tuan Anh Nguyen, Chinh Quoc Luong, Thang Xuan Vu, Dat Tuan Nguyen, Huan Huu Nguyen, Hung Quang To, Hai Minh Truong, Hung Trong Nguyen, Trang Thuy Nguyen
2025	J	`jnl`	Optimising design of clinical decision support systems and implementation strategies to improve radiological imaging appropriateness - A qualitative study in the emergency department. Int. J. Medical Informatics Yi Xiang Tay, Jeremy C. P. Wee, Marcus Eng Hock Ong, Shane J. Foley, Robert Chun Chen, Lai Peng Chan, Ronan Killeen, Ivan S. Y. Chua, Jonathan P. McNulty
2025	—	`conf`	Transfer Learning Enhances Neurological Outcome Prediction for Out-of-Hospital Cardiac Arrest: Validation Across Diverse Geographic Contexts. MedInfo Siqi Li, Yohei Okada, Wenjun Gu, Michael Hao Chen, Marcus Eng Hock Ong, Nan Liu
2024	J	`jnl`	Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data. CoRR Siqi Li, Yuqing Shang, Ziwen Wang, Qiming Wu, Chuan Hong, Yilin Ning, Di Miao, Marcus Eng Hock Ong, Bibhas Chakraborty, Nan Liu
2024	J	`jnl`	FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare. Patterns Mingxuan Liu, Yilin Ning, Yuhe Ke, Yuqing Shang, Bibhas Chakraborty, Marcus Eng Hock Ong, Roger Vaughan, Nan Liu
2024	J	`jnl`	FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction. CoRR Siqi Li, Qiming Wu, Xin Li, Di Miao, Chuan Hong, Wenjun Gu, Yuqing Shang, Yohei Okada, Michael Hao Chen, Mengying Yan, Yilin Ning, Marcus Eng Hock Ong, Nan Liu
2024	J	`jnl`	Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare. CoRR Mingxuan Liu, Yilin Ning, Yuhe Ke, Yuqing Shang, Bibhas Chakraborty, Marcus Eng Hock Ong, Roger Vaughan, Nan Liu
2024	Misc	`conf`	Simulation of Emergency Care Systems: A Taxonomy and Future Directions. WSC Sean Shao Wei Lam, Ashish Kumar, Guo Yuan, Michael Dorosan, Marcus Eng Hock Ong, Fahad Javaid Siddiqui
2024	J	`jnl`	Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission. CoRR Ziwen Wang, Jin Wee Lee, Tanujit Chakraborty, Yilin Ning, Mingxuan Liu, Feng Xie, Marcus Eng Hock Ong, Nan Liu
2024	J	`jnl`	Towards Clinical AI Fairness: Filling Gaps in the Puzzle. CoRR 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
2023	J	`jnl`	A roadmap to fair and trustworthy prediction model validation in healthcare. CoRR Yilin Ning, Victor Volovici, Marcus Eng Hock Ong, Benjamin Alan Goldstein, Nan Liu
2023	J	`jnl`	A translational perspective towards clinical AI fairness. npj Digit. Medicine 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
2023	J	`jnl`	FedScore: A privacy-preserving framework for federated scoring system development. CoRR 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
2023	J	`jnl`	FedScore: A privacy-preserving framework for federated scoring system development. J. Biomed. Informatics 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
2023	J	`jnl`	Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches. CoRR 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
2023	J	`jnl`	Federated and distributed learning applications for electronic health records and structured medical data: A scoping review. CoRR 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
2023	J	`jnl`	Federated and distributed learning applications for electronic health records and structured medical data: a scoping review. J. Am. Medical Informatics Assoc. 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
2023	J	`jnl`	Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist. CoRR 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
2023	J	`jnl`	HRnV-Calc: A Software for Heart Rate n-Variability and Heart Rate Variability Analysis. J. Open Source Softw. 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
2023	J	`jnl`	Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. Artif. Intell. Medicine 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
2023	J	`jnl`	Towards clinical AI fairness: A translational perspective. CoRR 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
2023	J	`jnl`	Viewing the Role of Alternate Care Service Pathways in the Emergency Care System through a Causal Loop Diagram Lens. Syst. Ashish Kumar, Zhenghong Liu, John Pastor Ansah, Yih Yng Ng, Benjamin Sieu-Hon Leong, David Bruce Matchar, Marcus Eng Hock Ong, Fahad Javaid Siddiqui
2022	Misc	`conf`	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 Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu
2022	J	`jnl`	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 Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu
2022	J	`jnl`	AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data. J. Biomed. Informatics 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
2022	Misc	`conf`	AutoScore-Ordinal: An Interpretable Machine Learning Framework for Generating Scoring Models for Ordinal Outcomes. AMIA Seyed Ehsan Saffari, Yilin Ning, Feng Xie, Bibhas Chakraborty, Victor Volovici, Roger Vaughan, Marcus Eng Hock Ong, Nan Liu
2022	J	`jnl`	AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomes. CoRR Seyed Ehsan Saffari, Yilin Ning, Feng Xie, Bibhas Chakraborty, Victor Volovici, Roger Vaughan, Marcus Eng Hock Ong, Nan Liu
2022	J	`jnl`	AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data. J. Biomed. Informatics Feng Xie, Yilin Ning, Han Yuan, Benjamin Alan Goldstein, Marcus Eng Hock Ong, Nan Liu, Bibhas Chakraborty
2022	J	`jnl`	Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making. CoRR Mingxuan Liu, Yilin Ning, Han Yuan, Marcus Eng Hock Ong, Nan Liu
2022	Misc	`conf`	Benchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records. AMIA 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
2022	J	`jnl`	Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies. J. Biomed. Informatics Feng Xie, Han Yuan, Yilin Ning, Marcus Eng Hock Ong, Mengling Feng, Wynne Hsu, Bibhas Chakraborty, Nan Liu
2022	J	`jnl`	Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. CoRR Mingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Victor Volovici, Bibhas Chakraborty, Nan Liu
2022	J	`jnl`	Resuming elective surgery after COVID-19: A simulation modelling framework for guiding the phased opening of operating rooms. Int. J. Medical Informatics 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
2022	J	`jnl`	Shapley variable importance cloud for interpretable machine learning. Patterns Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Benjamin Alan Goldstein, Daniel Shu Wei Ting, Roger Vaughan, Nan Liu
2022	Misc	`conf`	Simulation-Based Analysis of Evacuation Elevator Allocation for a Multi-Level Hospital Emergency Department. WSC 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
2021	Misc	`conf`	A Model-based Analysis of Evacuation Strategies in Hospital Emergency Departments. WSC 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
2021	J	`jnl`	AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data. CoRR 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
2021	J	`jnl`	AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data. CoRR Feng Xie, Yilin Ning, Han Yuan, Benjamin Alan Goldstein, Marcus Eng Hock Ong, Nan Liu, Bibhas Chakraborty
2021	J	`jnl`	Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records. CoRR 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
2021	J	`jnl`	Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies. CoRR Feng Xie, Han Yuan, Yilin Ning, Marcus Eng Hock Ong, Mengling Feng, Wynne Hsu, Bibhas Chakraborty, Nan Liu
2021	Misc	`conf`	Development and Validation of a Survival Score for the Emergency Department in Singapore. AMIA Feng Xie, Bibhas Chakraborty, Nan Liu, Marcus Eng Hock Ong
2021	J	`jnl`	HRnV-Calc: A software package for heart rate n-variability and heart rate variability analysis. CoRR Chenglin Niu, Dagang Guo, Marcus Eng Hock Ong, Zhixiong Koh, Andrew Fu Wah Ho, Zhiping Lin, Chengyu Liu, Gari D. Clifford, Nan Liu
2021	B	`conf`	Recurrent Temporal Point Process Network for First and Repeated Clinical Events. ICTAI Min Min Chan, Amanda Yun Rui Lam, David Carmody, Marcus Eng Hock Ong, Yingtian Zou, Wynne Hsu, Mong-Li Lee
2021	J	`jnl`	Shapley variable importance clouds for interpretable machine learning. CoRR Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Benjamin Alan Goldstein, Daniel Shu Wei Ting, Roger Vaughan, Nan Liu
2020	—	`conf`	Modeling Helping Behavior in Emergency Evacuations Using Volunteer's Dilemma Game. ICCS (1) Jaeyoung Kwak, Michael Harold Lees, Wentong Cai, Marcus Eng Hock Ong
2020	—	`conf`	Prediction of ROSC After Cardiac Arrest Using Machine Learning. MIE 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
2020	—	`conf`	Risk-Based AED Placement - Singapore Case. ICCS (4) Ivan Derevitskii, Nikita Kogtikov, Michael Harold Lees, Wentong Cai, Marcus Eng Hock Ong
2019	—	`conf`	A Novel Picture Fingerprinting Technique to Provide Practical Indoor Localization for Wheelchair Users. HCI (34) Jicheng Fu, Paul Wiechmann, Marcus Eng Hock Ong, Gang Qian, Yan Daniel Zhao
2019	C	`conf`	Explainable AI: Classification of MRI Brain Scans Orders for Quality Improvement. BDCAT Alwin Yaoxian Zhang, Sean Shao Wei Lam, Marcus Eng Hock Ong, Phua Hwee Tang, Ling Ling Chan
2019	Misc	`conf`	Serial Heart Rate Variability Measures for Risk Prediction of Septic Patients in the Emergency Department. AMIA Calvin Chiew, Han Wang, Marcus Eng Hock Ong, Ting Hway Wong, Zhixiong Koh, Nan Liu, Mengling Feng
2018	—	`conf`	A Novel Approach for Assessing Power Wheelchair Users' Mobility by Using Curve Fitting. HCI (17) Jicheng Fu, Fang Li, Marcus Eng Hock Ong, Tyler Cook, Gang Qian, Yan Daniel Zhao
2018	—	`conf`	Predictive Modeling of Hospital Readmissions with Sparse Bayesian Extreme Learning Machine. ELM Nan Liu, Lian Leng Low, Sean Shao Wei Lam, Julian Thumboo, Marcus Eng Hock Ong
2017	B	`conf`	A Feasible and Terrain-Insensitive Approach for Analyzing Power Wheelchair Users' Mobility. ICTAI Fang Li, Marcus Eng Hock Ong, Yan Daniel Zhao, Gang Qian, Jicheng Fu
2017	J	`jnl`	Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events. Cogn. Comput. Nan Liu, Jeffrey Tadashi Sakamoto, Jiuwen Cao, Zhixiong Koh, Andrew Fu Wah Ho, Zhiping Lin, Marcus Eng Hock Ong
2017	J	`jnl`	FAM-FACE-SG: a score for risk stratification of frequent hospital admitters. BMC Medical Informatics Decis. Mak. Lian Leng Low, Nan Liu, Kheng Hock Lee, Marcus Eng Hock Ong, Sijia Wang, Xuan Jing, Julian Thumboo
2017	J	`jnl`	Simulation-based decision support framework for dynamic ambulance redeployment in Singapore. Int. J. Medical Informatics Sean Shao Wei Lam, Clarence Boon Liang Ng, Francis Ngoc Hoang Long Nguyen, Yih Yng Ng, Marcus Eng Hock Ong
2015	—	`conf`	Analysis of patient outcome using ECG and extreme learning machine ensemble. DSP Nan Liu, Jiuwen Cao, Zhixiong Koh, Zhiping Lin, Marcus Eng Hock Ong
2015	C	`conf`	Effects of two new features of approximate entropy and sample entropy on cardiac arrest prediction. ISCAS Yumeng Gao, Zhiping Lin, Tongtong Zhang, Nan Liu, Tianchi Liu, Wee Ser, Zhixiong Koh, Marcus Eng Hock Ong
2015	J	`jnl`	Landmark recognition with sparse representation classification and extreme learning machine. J. Frankl. Inst. Jiuwen Cao, Yanfei Zhao, Xiaoping Lai, Marcus Eng Hock Ong, Chun Yin, Zhixiong Koh, Nan Liu
2015	J	`jnl`	Manifold ranking based scoring system with its application to cardiac arrest prediction: A retrospective study in emergency department patients. Comput. Biol. Medicine 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
2015	Misc	`conf`	Multi-objective optimization for a hospital inpatient flow process via discrete event simulation. WSC Yang Wang, Loo Hay Lee, Ek Peng Chew, Sean Shao Wei Lam, Seng Kee Low, Marcus Eng Hock Ong, Haobin Li
2014	J	`jnl`	Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection. BMC Medical Informatics Decis. Mak. Nan Liu, Zhi Koh, Junyang Goh, Zhiping Lin, Benjamin Haaland, Boon Ting, Marcus Eng Hock Ong
2014	J	`jnl`	Risk Scoring for Prediction of Acute Cardiac Complications from Imbalanced Clinical Data. IEEE J. Biomed. Health Informatics Nan Liu, Zhixiong Koh, Eric Chern-Pin Chua, Licia Mei-Ling Tan, Zhiping Lin, Bilal Mirza, Marcus Eng Hock Ong
2012	J	`jnl`	An Intelligent Scoring System and Its Application to Cardiac Arrest Prediction. IEEE Trans. Inf. Technol. Biomed. Nan Liu, Zhiping Lin, Jiuwen Cao, Zhixiong Koh, Tongtong Zhang, Guang-Bin Huang, Wee Ser, Marcus Eng Hock Ong
2011	J	`jnl`	Patient Outcome Prediction with Heart Rate Variability and Vital Signs. J. Signal Process. Syst. Nan Liu, Zhiping Lin, Zhixiong Koh, Guang-Bin Huang, Wee Ser, Marcus Eng Hock Ong
2008	—	`conf`	Patient classification based on pre-hospital heart rate variability. APCCAS Pavitra Padmanabhan, Zhiping Lin, Guang-Bin Huang, Marcus Eng Hock Ong