Nan Liu - Dissemin

All papers authored by Nan Liu

This paper is made freely available by the publisher.

2024 Rui Yang

, Qingcheng Zeng

, Keen You

, Yujie Qiao

, Lucas Huang

, Chia-Chun Hsieh

, Benjamin Rosand

, Jeremy Goldwasser

, Amisha Dave

, Tiarnan Keenan

, Yuhe Ke

, Chuan Hong

, Nan Liu

, Emily Chew

, Dragomir Radev

and 4 other authors

Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study

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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

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Yuhe Ke

, Rui Yang

, Nan Liu

Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

2023 Y. Li, M. Yip, Y. Ning, J. Chung, A. Toh, C. Leow, N. Liu

, D. Ting, L. Schmetterer, Saw Sm, Jonas Jb, A. Chia, M. Ang

Topical Atropine for Childhood Myopia Control: The Atropine Treatment Long-Term Assessment Study.

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This paper was not found in any repository, but could be made available legally by the author.

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

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Jamie S. Y. Ho, Andrew F. W. Ho, Eric Jou, Nan Liu

, Huili Zheng, Joel Aik

Association between the extension of smoke-free legislation and incident acute myocardial infarctions in Singapore from 2010 to 2019: an interrupted time-series analysis

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Shu-Ling Chong, Chenglin Niu, Gene Yong-Kwang Ong, Rupini Piragasam, Zi Xean Khoo, Zhi Xiong Koh, Dagang Guo, Jan Hau Lee, Marcus Eng Hock Ong, Nan Liu

Febrile infants risk score at triage (FIRST) for the early identification of serious bacterial infections

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Yohei Okada

, Mayli Mertens, Nan Liu

, Sean Shao Wei Lam, Marcus Eng Hock Ong

AI and machine learning in resuscitation: Ongoing research, new concepts, and key challenges

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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

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Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu

Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics

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Marcel Lucas Chee

, Mark Leonard Chee, Haotian Huang, Katelyn Mazzochi, Kieran Taylor, Han Wang, Mengling Feng, Andrew Fu Wah Ho

, Siddiqui Fj, Fahad Javaid Siddiqui

, Marcus Eng Hock Ong

, Nan Liu

Artificial intelligence and machine learning in prehospital emergency care: A scoping review

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Mingxuan Liu, Siqi Li, Han Yuan, Ong Meh, Marcus Eng Hock Ong, Yilin Ning, Feng Xie

, Seyed Ehsan Saffari, Saffari Se, Yuqing Shang, Victor Volovici, Bibhas Chakraborty, Nan Liu

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques

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Yan Gao, Nicholas Yock Teck Soh

, Nan Liu

, Gilbert Lim, Daniel Ting, Lionel Tim-Ee Cheng, Kang Min Wong, Charlene Liew, Hong Choon Oh, Jin Rong Tan, Narayan Venkataraman, Siang Hiong Goh, Yet Yen Yan

Application of a deep learning algorithm in the detection of hip fractures

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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

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Chan Sl, Sze Ling Chan, Lee Jw, Jin Wee Lee, Ong Meh, Marcus Eng Hock Ong, Siddiqui Fj, Fahad Javaid Siddiqui, Nicholas Graves, Ho Afw, 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

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Ting Fang Tan, Tan Tf, Teo Zl, Peilun Dai, Xiaoman Zhang, Liyuan Jin, Stanley Poh, Dylan Hong, Joshua Lim, Gilbert Lim, Zhen Ling Teo, Nan Liu

, Ting Dsw, Daniel Shu Wei Ting

Explainable artificial intelligence in ophthalmology

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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

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Zhaoran Wang, Gilbert Lim, Wei Yan Ng, Ng Wy, Tien-En Tan, Tan Te, Jane Lim, Sing Hui Lim, Lim Sh, Valencia Foo, Joshua Lim, Sinisterra Lg, Laura Gutierrez Sinisterra

, Feihui Zheng, Tan Gsw and 10 other authors

Synthetic artificial intelligence using generative adversarial network for retinal imaging in detection of age-related macular degeneration

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Feng Xie

, Yilin Ning, Mingxuan Liu, Siqi Li, Seyed Ehsan Saffari, Saffari Se, Han Yuan, Victor Volovici, Ting Dsw, Daniel Shu Wei Ting, Goldstein Ba, Benjamin Alan Goldstein, Ong Meh, Marcus Eng Hock Ong, Roger Vaughan and 2 other authors

A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes

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All papers authored by Nan Liu