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Journal Articles
- 2024
[j3]Mila Nambiar
, Yong Mong Bee, Yu En Chan, Ivan Ho Mien, Feri Guretno, David Carmody, Phong Ching Lee, Sing Yi Chia, Nur Nasyitah Mohamed Salim, Pavitra Krishnaswamy:
A drug mix and dose decision algorithm for individualized type 2 diabetes management. npj Digit. Medicine 7(1) (2024)- [j2]Naveenah Udaya Surian, Arsen O. Batagov, Andrew Wu, Wenbin Lai, Yan Sun, Yong Mong Bee, Rinkoo Dalan:
A digital twin model incorporating generalized metabolic fluxes to identify and predict chronic kidney disease in type 2 diabetes mellitus. npj Digit. Medicine 7(1) (2024) - 2023
- [j1]Hong Chang Tan, Elizabeth Shumbayawonda, Cayden Beyer, Lionel Tim-Ee Cheng, Albert Low, Chin Hong Lim, Alvin Eng, Weng Hoong Chan, Phong Ching Lee, Mei Fang Tay, Stella Kin, Jason Pik Eu Chang, Yong Mong Bee, George Boon Bee Goh:
Multiparametric Magnetic Resonance Imaging and Magnetic Resonance Elastography to Evaluate the Early Effects of Bariatric Surgery on Nonalcoholic Fatty Liver Disease. Int. J. Biomed. Imaging 2023: 4228321:1-4228321:8 (2023)
Conference and Workshop Papers
- 2023
- [c1]Mila Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy:
Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications. KDD 2023: 4673-4684
Informal and Other Publications
- 2023
- [i1]Milashini Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy:
Deep Offline Reinforcement Learning for Real-World Treatment Optimization Applications. CoRR abs/2302.07549 (2023)
Coauthor Index
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