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2020 – today
- 2024
[j2]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 Digit. Medicine 7(1) (2024)- [j1]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) - [c1]Rui Yang, Haoran Liu, Edison Marrese-Taylor, Qingcheng Zeng, Yuhe Ke, Wanxin Li, Lechao Cheng, Qingyu Chen, James Caverlee, Yutaka Matsuo, Irene Li:
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques. BioNLP@ACL 2024: 155-166 - [i10]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 abs/2401.14589 (2024) - [i9]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 abs/2402.01733 (2024) - [i8]Jasmine Chiat Ling Ong, Liyuan Jin, Kabilan Elangovan, Gilbert Yong San Lim, Daniel Yan Zheng Lim, Gerald Gui Ren Sng, Yuhe Ke, Joshua Yi Min Tung, Ryan Jian Zhong, Christopher Ming Yao Koh, Keane Zhi Hao Lee, Xiang Chen, Jack Kian Chng, Aung Than, Ken Junyang Goh, Daniel Shu Wei Ting:
Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical Specialties. CoRR abs/2402.01741 (2024) - [i7]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 abs/2402.10083 (2024) - [i6]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) - [i5]Rui Yang, Haoran Liu, Edison Marrese-Taylor, Qingcheng Zeng, Yuhe Ke, Wanxin Li, Lechao Cheng, Qingyu Chen, James Caverlee, Yutaka Matsuo, Irene Li:
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques. CoRR abs/2403.05881 (2024) - [i4]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 abs/2407.11034 (2024) - [i3]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 abs/2407.12822 (2024) - 2023
- [i2]Rui Yang, Edison Marrese-Taylor, Yuhe Ke, Lechao Cheng, Qingyu Chen, Irene Li:
Integrating UMLS Knowledge into Large Language Models for Medical Question Answering. CoRR abs/2310.02778 (2023) - [i1]Yuhe Ke, Matilda Swee Sun Tang, Celestine Jia Ling Loh, Hairil Rizal Abdullah, Nicholas Brian Shannon:
Cluster trajectory of SOFA score in predicting mortality in sepsis. CoRR abs/2311.17066 (2023)
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