Alert button
Picture for Nan Liu

Nan Liu

Alert button

Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare

Mar 08, 2024
Mingxuan Liu, Yilin Ning, Yuhe Ke, Yuqing Shang, Bibhas Chakraborty, Marcus Eng Hock Ong, Roger Vaughan, Nan Liu

Figure 1 for Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
Figure 2 for Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
Figure 3 for Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
Figure 4 for Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
Viaarxiv icon

Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data

Mar 08, 2024
Siqi Li, Yuqing Shang, Ziwen Wang, Qiming Wu, Chuan Hong, Yilin Ning, Di Miao, Marcus Eng Hock Ong, Bibhas Chakraborty, Nan Liu

Figure 1 for Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data
Figure 2 for Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data
Figure 3 for Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data
Figure 4 for Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data
Viaarxiv icon

Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission

Mar 04, 2024
Ziwen Wang, Jin Wee Lee, Tanujit Chakraborty, Yilin Ning, Mingxuan Liu, Feng Xie, Marcus Eng Hock Ong, Nan Liu

Viaarxiv icon

Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4

Feb 15, 2024
Ting Fang Tan, Kabilan Elangovan, Liyuan Jin, Yao Jie, Li Yong, Joshua Lim, Stanley Poh, Wei Yan Ng, Daniel Lim, Yuhe Ke, Nan Liu, Daniel Shu Wei Ting

Viaarxiv icon

Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report

Jan 29, 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

Viaarxiv icon

Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias

Jan 26, 2024
Yu He Ke, Rui Yang, Sui An Lie, Taylor Xin Yi Lim, Hairil Rizal Abdullah, Daniel Shu Wei Ting, Nan Liu

Viaarxiv icon

Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation

Nov 26, 2023
Han Yuan, Chuan Hong, Nguyen Tuan Anh Tran, Xinxing Xu, Nan Liu

Viaarxiv icon

Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches

Nov 06, 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

Viaarxiv icon

Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist

Nov 02, 2023
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

Viaarxiv icon

Transmission line condition prediction based on semi-supervised learning

Oct 30, 2023
Sizhe Li, Xun Ma, Nan Liu, Yi Jin

Viaarxiv icon