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2020 – today
- 2024
[j21]Mingxuan Liu, Yilin Ning, Yuhe Ke, Yuqing Shang, Bibhas Chakraborty, Marcus Eng Hock Ong, Roger Vaughan, Nan Liu:
FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare. Patterns 5(10): 101059 (2024)- [i20]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 abs/2403.05229 (2024) - [i19]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 abs/2403.05235 (2024) - [i18]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 abs/2403.06999 (2024) - [i17]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 abs/2405.17921 (2024) - 2023
- [j20]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: 102587 (2023) - [j19]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): 2041-2049 (2023) - [j18]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: 104485 (2023) - [j17]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): 5391 (2023) - [j16]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) - [j15]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): 215 (2023) - [i16]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 abs/2303.00282 (2023) - [i15]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 abs/2304.03779 (2023) - [i14]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 abs/2304.07310 (2023) - [i13]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 abs/2304.13493 (2023) - [i12]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 abs/2311.02107 (2023) - [i11]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 abs/2311.03417 (2023) - 2022
- [j14]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): 104665 (2022) - [j13]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: 103959 (2022) - [j12]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: 103980 (2022) - [j11]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: 104072 (2022) - [j10]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): 100452 (2022) - [c20]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 - [c19]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 - [c18]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 Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records. AMIA 2022 - [c17]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: 358-369 - [i10]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 abs/2201.03291 (2022) - [i9]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. CoRR abs/2202.08407 (2022) - [i8]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 abs/2206.04050 (2022) - [i7]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 abs/2210.08258 (2022) - 2021
- [c16]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 - [c15]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: 153-160 - [c14]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: 1-12 - [i6]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 abs/2106.06957 (2021) - [i5]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 abs/2107.06039 (2021) - [i4]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 abs/2107.09951 (2021) - [i3]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 abs/2110.02484 (2021) - [i2]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 abs/2111.09649 (2021) - [i1]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 abs/2111.11017 (2021) - 2020
- [c13]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: 513-523 - [c12]Ivan Derevitskii, Nikita Kogtikov, Michael Harold Lees, Wentong Cai, Marcus Eng Hock Ong:
Risk-Based AED Placement - Singapore Case. ICCS (4) 2020: 577-590 - [c11]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: 1357-1358
2010 – 2019
- 2019
- [c10]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 - [c9]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: 95-102 - [c8]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: 273-278 - 2018
- [c7]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: 191-196 - [c6]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: 158-168 - 2017
- [j9]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): 545-554 (2017) - [j8]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: 37-47 (2017) - [j7]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): 35:1-35:11 (2017) - [c5]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: 586-590 - 2015
- [j6]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: 74-82 (2015) - [j5]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): 4528-4545 (2015) - [c4]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: 1049-1052 - [c3]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: 65-68 - [c2]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: 3622-3631 - 2014
- [j4]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: 75 (2014) - [j3]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): 1894-1902 (2014) - 2012
- [j2]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): 1324-1331 (2012) - 2011
- [j1]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): 265-278 (2011)
2000 – 2009
- 2008
- [c1]Pavitra Padmanabhan, Zhiping Lin, Guang-Bin Huang, Marcus Eng Hock Ong:
Patient classification based on pre-hospital heart rate variability. APCCAS 2008: 125-128
Coauthor Index
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