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Nan Liu
ORCID
Publication Activity (10 Years)
Years Active: 2005-2024
Publications (10 Years): 51
Top Topics
Emergency Department
Landmark Recognition
E Learning
Sparse Representation
Top Venues
CoRR
J. Biomed. Informatics
AMIA
DSP
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Publications
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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)
Han Yuan
,
Chuan Hong
,
Pengtao Jiang
,
Gangming Zhao
,
Nguyen Tuan Anh Tran
,
Xinxing Xu
,
Yet Yen Yan
,
Nan Liu
Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classification.
CoRR
(2024)
Ting Fang Tan
,
Kabilan Elangovan
,
Jasmine Chiat Ling Ong
,
Nigam Shah
,
Joseph Jao-Yiu Sung
,
Tien Yin Wong
,
Lan Xue
,
Nan Liu
,
Haibo Wang
,
Chang Fu Kuo
,
Simon Chesterman
,
Zee Kin Yeong
,
Daniel S. W. Ting
A Proposed S.C.O.R.E. Evaluation Framework for Large Language Models : Safety, Consensus, Objectivity, Reproducibility and Explainability.
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)
Qiming Wu
,
Siqi Li
,
Di Miao
,
Yuqing Shang
,
Xin Li
,
Nan Liu
Evaluating the Efficacy of Federated Scoring Systems with Heterogeneous Electronic Health Records.
Tiny Papers @ ICLR
(2024)
Rui Yang
,
Yilin Ning
,
Emilia Keppo
,
Mingxuan Liu
,
Chuan Hong
,
Danielle S. Bitterman
,
Jasmine Chiat Ling Ong
,
Daniel Shu Wei Ting
,
Nan Liu
Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine.
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)
Kabilan Elangovan
,
Jasmine Chiat Ling Ong
,
Liyuan Jin
,
Benjamin Jun Jie Seng
,
Yu Heng Kwan
,
Lit Soo Tan
,
Ryan Jian Zhong
,
Justina Koi Li Ma
,
Yuhe Ke
,
Nan Liu
,
Kathleen M. Giacomini
,
Daniel Shu Wei Ting
Lightweight Large Language Model for Medication Enquiry: Med-Pal.
CoRR
(2024)
Han Yuan
,
Chuan Hong
,
Pengtao Jiang
,
Gangming Zhao
,
Nguyen Tuan Anh Tran
,
Xinxing Xu
,
Yet Yen Yan
,
Nan Liu
Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification.
J. Biomed. Informatics
156 (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)
Yuhe Ke
,
Liyuan Jin
,
Kabilan Elangovan
,
Hairil Rizal Abdullah
,
Nan Liu
,
Alex Tiong Heng Sia
,
Chai Rick Soh
,
Joshua Yi Min Tung
,
Jasmine Chiat Ling Ong
,
Daniel Shu Wei Ting
Development and Testing of Retrieval Augmented Generation in Large Language Models - A Case Study Report.
CoRR
(2024)
Yuhe Ke
,
Rui Yang
,
Sui An Lie
,
Taylor Xin Yi Lim
,
Hairil Rizal Abdullah
,
Daniel Shu Wei Ting
,
Nan Liu
Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias.
CoRR
(2024)
Ting Fang Tan
,
Kabilan Elangovan
,
Liyuan Jin
,
Yao Jie
,
Li Yong
,
Joshua Lim
,
Stanley Poh
,
Wei Yan Ng
,
Daniel Yan Zheng Lim
,
Yuhe Ke
,
Nan Liu
,
Daniel Shu Wei Ting
Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4.
CoRR
(2024)
Siqi Li
,
Xin Li
,
Kunyu Yu
,
Di Miao
,
Mingcheng Zhu
,
Mengying Yan
,
Yuhe Ke
,
Danny D'Agostino
,
Yilin Ning
,
Qiming Wu
,
Ziwen Wang
,
Yuqing Shang
,
Molei Liu
,
Chuan Hong
,
Nan Liu
Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Biomedical Data Analysis.
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)
Madhurima Panja
,
Tanujit Chakraborty
,
Uttam Kumar
,
Nan Liu
Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics.
Neural Networks
165 (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)
Pinyan Liu
,
Ziwen Wang
,
Nan Liu
,
Marco Aurélio Peres
A scoping review of the clinical application of machine learning in data-driven population segmentation analysis.
J. Am. Medical Informatics Assoc.
30 (9) (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)
Han Yuan
,
Chuan Hong
,
Nguyen Tuan Anh Tran
,
Xinxing Xu
,
Nan Liu
Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation.
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)
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)
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)
Yilin Ning
,
Mingxuan Liu
,
Nan Liu
Shapley variable importance cloud for machine learning models.
CoRR
(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)
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)
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)
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)
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
,
Nan Liu
,
Yan Pang
,
Ling Ling Chan
,
Phua Hwee Tang
Development of a Radiology Decision Support System for the Classification of MRI Brain Scans.
BDCAT
(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)
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)
Beom-Seok Oh
,
Lei Sun
,
Chung Soo Ahn
,
Yong Kiang Yeo
,
Yan Yang
,
Nan Liu
,
Zhiping Lin
Extreme learning machine based mutual information estimation with application to time-series change-points detection.
Neurocomputing
261 (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)
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)
Bilal Mirza
,
Zhiping Lin
,
Nan Liu
Ensemble of subset online sequential extreme learning machine for class imbalance and concept drift.
Neurocomputing
149 (2015)
Jiuwen Cao
,
Yanfei Zhao
,
Xiaoping Lai
,
Tao Chen
,
Nan Liu
,
Bilal Mirza
,
Zhiping Lin
Landmark recognition via sparse representation.
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
,
Han Wang
Evolutionary Extreme Learning Machine and Its Application to Image Analysis.
J. Signal Process. Syst.
73 (1) (2013)
Nan Liu
,
Han Wang
Weighted principal component extraction with genetic algorithms.
Appl. Soft Comput.
12 (2) (2012)
Jiuwen Cao
,
Zhiping Lin
,
Guang-Bin Huang
,
Nan Liu
Voting based extreme learning machine.
Inf. Sci.
185 (1) (2012)
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)
Nan Liu
,
Han Wang
Ensemble Based Extreme Learning Machine.
IEEE Signal Process. Lett.
17 (8) (2010)
Nan Liu
,
Han Wang
Modeling Images With Multiple Trace Transforms for Pattern Analysis.
IEEE Signal Process. Lett.
16 (5) (2009)
Nan Liu
,
Han Wang
Improving predictive accuracy by evolving feature selection for face recognition.
IEICE Electron. Express
5 (24) (2008)
Nan Liu
,
Han Wang
Feature selection in frequency domain and its application to face recognition.
IJCNN
(2008)
Nan Liu
,
Han Wang
Classification of transformed face images with majority voting.
SMC
(2007)
Nan Liu
,
Han Wang
Extraction of hybrid trace features with evolutionary computation for face recognition.
IEEE Congress on Evolutionary Computation
(2007)
Nan Liu
,
Han Wang
Feature Extraction with Genetic Algorithms Based Nonlinear Principal Component Analysis for Face Recognition.
ICPR (3)
(2006)
Nan Liu
,
Han Wang
,
Wei-Yun Yau
Face Recognition with Weighted Kernel Principal Component Analysis.
ICARCV
(2006)
Nan Liu
,
Han Wang
Feature extraction using evolutionary weighted principal component analysis.
SMC
(2005)