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Hairil Rizal Abdullah
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2020 – today
- 2024
- [i6]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) - [i5]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) - [i4]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, Chang Fu Kuo, Shao-Chun Wu, Vesela P. Kovacheva, Daniel Shu Wei Ting:
oRetrieval Augmented Generation for 10 Large Language Models and its Generalizability in Assessing Medical Fitness. CoRR abs/2410.08431 (2024) - 2023
- [i3]Yucheng Ruan, Xiang Lan, Daniel J. Tan, Hairil Rizal Abdullah, Mengling Feng:
Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts. CoRR abs/2303.17408 (2023) - [i2]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) - 2022
- [j3]Hairil Rizal Abdullah, Sean Shao Wei Lam, Boon Yew Ang, Ahmadreza Pourghaderi, Francis Ngoc Hoang Long Nguyen, David Bruce Matchar, Hiang Khoon Tan, Marcus Eng Hock Ong:
Resuming elective surgery after COVID-19: A simulation modelling framework for guiding the phased opening of operating rooms. Int. J. Medical Informatics 158(February): 104665 (2022) - [j2]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: 104072 (2022) - 2021
- [i1]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 abs/2107.06039 (2021)
2010 – 2019
- 2017
- [j1]Eileen Yilin Sim, Daryl Jian An Tan, Hairil Rizal Abdullah:
The use of computerized physician order entry with clinical decision support reduces practice variance in ordering preoperative investigations: A retrospective cohort study. Int. J. Medical Informatics 108: 29-35 (2017)
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