Nan Liu

ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Venues

Journal of medical Internet research

PLOS digital health

NPJ digital medicine

PloS one

National University of Singapore

This page only lists publications with an associated author ORCID identifier.

Affiliation History

National University of Singapore

Singapore

Associate Professor :: Duke-NUS Medical School

Publications

Yuhe Ke, Rui Yang, Nan Liu
Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study. Journal of medical Internet research 26 (2024)
Yuhe Ke, Rui Yang, Nan Liu
Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study. Journal of medical Internet research 26 (2024)
Yilin Ning, Siqi Li, Yih Yng Ng, Michael Yih Chong Chia, Han Nee Gan, Ling Tiah, Desmond Renhao Mao, Wei Ming Ng, Benjamin Sieu-Hon Leong, Nausheen Doctor, Marcus Eng Hock Ong, Nan Liu
Variable importance analysis with interpretable machine learning for fair risk prediction. PLOS digital health 3 (7) (2024)
Rui Yang, Sabarinath Vinod Nair, Yuhe Ke, Danny D'Agostino, Mingxuan Liu, Yilin Ning, Nan Liu
Disparities in clinical studies of AI enabled applications from a global perspective. NPJ digital medicine 7 (1) (2024)
Yuhe Ke, Rui Yang, Nan Liu
Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study. Journal of medical Internet research 26 (2024)
Yuhe Ke, Rui Yang, Nan Liu
Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study. Journal of medical Internet research 26 (2024)
Yilin Ning, Siqi Li, Yih Yng Ng, Michael Yih Chong Chia, Han Nee Gan, Ling Tiah, Desmond Renhao Mao, Wei Ming Ng, Benjamin Sieu-Hon Leong, Nausheen Doctor, Marcus Eng Hock Ong, Nan Liu
Variable importance analysis with interpretable machine learning for fair risk prediction. PLOS digital health 3 (7) (2024)
Rui Yang, Sabarinath Vinod Nair, Yuhe Ke, Danny D'Agostino, Mingxuan Liu, Yilin Ning, Nan Liu
Disparities in clinical studies of AI enabled applications from a global perspective. NPJ digital medicine 7 (1) (2024)
Rui Yang, Ting Fang Tan, Wei Lu, Arun James Thirunavukarasu, Daniel Shu Wei Ting, Nan Liu
Large language models in health care: Development, applications, and challenges. Health care science 2 (4) (2023)
Rui Yang, Ting Fang Tan, Wei Lu, Arun James Thirunavukarasu, Daniel Shu Wei Ting, Nan Liu
Large language models in health care: Development, applications, and challenges. Health care science 2 (4) (2023)
Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Tim-Ee Lionel Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
A translational perspective towards clinical AI fairness. NPJ digital medicine 6 (1) (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. PLOS digital health 1 (6) (2022)
Andrew Fu-Wah Ho, Zhongxun Hu, Ting Zhen Cheryl Woo, Kenneth Boon Kiat Tan, Jia Hao Lim, Maye Woo, Nan Liu, Geoffrey G Morgan, Marcus Eng-Hock Ong, Joel Aik
Ambient Air Quality and Emergency Hospital Admissions in Singapore: A Time-Series Analysis. International journal of environmental research and public health 19 (20) (2022)
Xiao Deng, Seyed Ehsan Saffari, Nan Liu, Bin Xiao, John Carson Allen, Samuel Yong Ern Ng, Nicole Chia, Yi Jayne Tan, Xinyi Choi, Dede Liana Heng, Yew-Long Lo, Zheyu Xu, Kay-Yaw Tay, Wing-Lok Au, Adeline Su Lyn Ng, Eng-King Tan, Louis C S Tan
Biomarker characterization of clinical subtypes of Parkinson Disease. NPJ Parkinson's disease 8 (1) (2022)
Victor Volovici, Nicholas Li-Xun Syn, Ari Ercole, Joseph J Zhao, Nan Liu
Steps to avoid overuse and misuse of machine learning in clinical research. Nature medicine 28 (10) (2022)
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 prediction models with machine learning and public electronic health records. Scientific data 9 (1) (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. PLOS digital health 1 (6) (2022)
Nan Liu, Feng Xie, Fahad Javaid Siddiqui, Andrew Fu-Wah Ho, Bibhas Chakraborty, Gayathri Devi Nadarajan, Kenneth Boon Kiat Tan, Marcus Eng-Hock Ong
Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation. JMIR research protocols 11 (3) (2022)
Sze Ling Chan, Jin Wee Lee, Marcus Eng Hock Ong, Fahad Javaid Siddiqui, Nicholas Graves, Andrew Fu Wah Ho, Nan Liu
Implementation of prediction models in the emergency department from an implementation science perspective-Determinants, outcomes and real-world impact: A scoping review protocol. PloS one 17 (5) (2022)
Nan Liu, Marcel Lucas Chee, Zhi Xiong Koh, Su Li Leow, Andrew Fu Wah Ho, Dagang Guo, Marcus Eng Hock Ong
Utilizing machine learning dimensionality reduction for risk stratification of chest pain patients in the emergency department. BMC medical research methodology 21 (1) (2021)
Kuo Ren Tan, Jun Jie Benjamin Seng, Elenore Judy B Uy, Ying Jie Chen, Sueziani Binte Zainudin, Dionne Hui Fang Loh, Nan Liu, Lian Leng Low
Evaluation of Machine Learning Methods Developed for Prediction of Diabetes Complications: A Systematic Review. Journal of diabetes science and technology (2021)
Nan Liu, Marcel Lucas Chee, Mabel Zhi Qi Foo, Jeremy Zhenwen Pong, Dagang Guo, Zhi Xiong Koh, Andrew Fu-Wah Ho, Chenglin Niu, Shu-Ling Chong, Marcus Eng Hock Ong
Heart rate n-variability (HRnV) measures for prediction of mortality in sepsis patients presenting at the emergency department. PloS one 16 (8) (2021)
Xingzhi Sun, Yong Mong Bee, Sean Shao Wei Lam, Zhuo Liu, Wei Zhao, Sing Yi Chia, Hanis Abdul Kadir, Jun Tian Wu, Boon Yew Ang, Nan Liu, Zuo Lei, Zhuoyang Xu, Tingting Zhao, Gang Hu, Guotong Xie
Effective Treatment Recommendations for Type 2 Diabetes Management Using Reinforcement Learning: Treatment Recommendation Model Development and Validation. Journal of medical Internet research 23 (7) (2021)
Feng Xie, Bibhas Chakraborty, Marcus Eng-Hock Ong, Benjamin Alan Goldstein, Nan Liu
AutoScore: A Machine Learning-Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records. JMIR medical informatics 8 (10) (2020)
Nan Liu, Marcel Lucas Chee, Chenglin Niu, Pin Pin Pek, Fahad Javaid Siddiqui, John Pastor Ansah, David Bruce Matchar, Sean Shao Wei Lam, Hairil Rizal Abdullah, Angelique Chan, Rahul Malhotra, Nicholas Graves, Mariko Siyue Koh, Sungwon Yoon, Andrew Fu Wah Ho, Daniel Shu Wei Ting, Jenny Guek Hong Low, Marcus Eng Hock Ong
Coronavirus disease 2019 (COVID-19): an evidence map of medical literature. BMC medical research methodology 20 (1) (2020)
Feng Xie, Nan Liu, Stella Xinzi Wu, Yukai Ang, Lian Leng Low, Andrew Fu Wah Ho, Sean Shao Wei Lam, David Bruce Matchar, Marcus Eng Hock Ong, Bibhas Chakraborty
Novel model for predicting inpatient mortality after emergency admission to hospital in Singapore: retrospective observational study. BMJ open 9 (9) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nan Liu