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ORCIDKee Yuan Ngiam
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2020 – today
- 2023
[c15]Xiaohong Wang
, Shuang Leng, Zhongkang Lu, Su Huang, Beng Hai Lee, Lohendran Baskaran, Min Sen Yew, Lynette Li San Teo, M. Y. Chan, Kee Yuan Ngiam, Hwee Kuan Lee, Liang Zhong, Weimin Huang:
Context-aware deep network for coronary artery stenosis classification in coronary CT angiography. EMBC 2023: 1-4- [c14]Kian Wei Ng, Yujia Gao, Shaheryar Mohammed Furqan, Zachery Yeo, Joel Lau, Kee Yuan Ngiam, Eng Tat Khoo:
HoloPOCUS: Portable Mixed-Reality 3D Ultrasound Tracking, Reconstruction and Overlay. ASMUS@MICCAI 2023: 111-120 - [i6]Kian Wei Ng, Yujia Gao, Shaheryar Mohammed Furqan, Zachery Yeo, Joel Lau, Kee Yuan Ngiam, Eng Tat Khoo:
HoloPOCUS: Portable Mixed-Reality 3D Ultrasound Tracking, Reconstruction and Overlay. CoRR abs/2308.13823 (2023) - 2022
- [j7]Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah E. Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai:
SurvMaximin: Robust federated approach to transporting survival risk prediction models. J. Biomed. Informatics 134: 104176 (2022) - [j6]Harrison G. Zhang, Arianna Dagliati, Zahra Shakeri Hossein Abad, Xin Xiong, Clara-Lea Bonzel, Zongqi Xia, Bryce W. Q. Tan, Paul Avillach, Gabriel A. Brat, Chuan Hong, Michele Morris, Shyam Visweswaran, Lav P. Patel, Alba Gutiérrez-Sacristán, David A. Hanauer, John H. Holmes, Malarkodi Jebathilagam Samayamuthu, Florence T. Bourgeois, Sehi L'Yi, Sarah E. Maidlow, Bertrand Moal, Shawn N. Murphy, Zachary H. Strasser, Antoine Neuraz, Kee Yuan Ngiam, Ne-Hooi Will Loh, Gilbert S. Omenn, Andrea Prunotto, Lauren A. Dalvin, Jeffrey G. Klann, Petra Schubert, Fernando J. Sanz Vidorreta, Vincent Benoit, Guillaume Verdy, Ramakanth Kavuluru, Hossein Estiri, Yuan Luo, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi, Kelly Cho, Yuk-Lam Ho, Amelia L. M. Tan, Byorn W. L. Tan, Nils Gehlenborg, Sara Lozano-Zahonero, Vianney Jouhet, Luca Chiovato, Bruce J. Aronow, Emma M. S. Toh, Wei Gen Scott Wong, Sara Pizzimenti, Kavishwar B. Wagholikar, Mauro Bucalo, Tianxi Cai, Andrew M. South, Isaac S. Kohane, Griffin M. Weber:
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. npj Digit. Medicine 5 (2022) - 2021
- [j5]Jeffrey G. Klann, Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong, Amelia L. M. Tan, Brett K. Beaulieu-Jones, Victor M. Castro, Thomas Maulhardt, Alon Geva, Alberto Malovini, Andrew M. South, Shyam Visweswaran, Michele Morris, Malarkodi J. Samayamuthu, Gilbert S. Omenn, Kee Yuan Ngiam, Kenneth D. Mandl, Martin Boeker, Karen L. Olson, Danielle L. Mowery, Robert W. Follett, David A. Hanauer, Riccardo Bellazzi, Jason H. Moore, Ne-Hooi Will Loh, Douglas S. Bell, Kavishwar B. Wagholikar, Luca Chiovato, Valentina Tibollo, Siegbert Rieg, Anthony L. L. J. Li, Vianney Jouhet, Emily Schriver, Zongqi Xia, Meghan Hutch, Yuan Luo, Isaac S. Kohane, Gabriel A. Brat, Shawn N. Murphy:
Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J. Am. Medical Informatics Assoc. 28(7): 1411-1420 (2021) - [j4]Na Liu, Jiamin Yin, Sharon Swee-Lin Tan, Kee Yuan Ngiam, Hock-Hai Teo:
Mobile health applications for older adults: a systematic review of interface and persuasive feature design. J. Am. Medical Informatics Assoc. 28(11): 2483-2501 (2021) - [j3]Zhaojing Luo, Shaofeng Cai, Gang Chen, Jinyang Gao, Wang-Chien Lee, Kee Yuan Ngiam, Meihui Zhang:
Improving Data Analytics with Fast and Adaptive Regularization. IEEE Trans. Knowl. Data Eng. 33(2): 551-568 (2021) - [c13]Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Lei Zhu, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi:
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines. ICDE 2021: 1655-1666 - [c12]Kaiping Zheng, Gang Chen, Melanie Herschel, Kee Yuan Ngiam, Beng Chin Ooi, Jinyang Gao:
PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery. SIGMOD Conference 2021: 2156-2168 - 2020
- [j2]Siqi Liu, Qianwen Stephanie Ko, Kun Qiang Amos Heng, Kee Yuan Ngiam, Mengling Feng:
Healthcare Transformation in Singapore With Artificial Intelligence. Frontiers Digit. Health 2: 592121 (2020) - [j1]Gabriel A. Brat, Griffin M. Weber, Nils Gehlenborg, Paul Avillach, Nathan P. Palmer, Luca Chiovato, James J. Cimino, Lemuel R. Waitman, Gilbert S. Omenn, Alberto Malovini, Jason H. Moore, Brett K. Beaulieu-Jones, Valentina Tibollo, Shawn N. Murphy, Sehi L'Yi, Mark S. Keller, Riccardo Bellazzi, David A. Hanauer, Arnaud Serret-Larmande, Alba Gutiérrez-Sacristán, John J. Holmes, Douglas S. Bell, Kenneth D. Mandl, Robert W. Follett, Jeffrey G. Klann, Douglas A. Murad, Luigia Scudeller, Mauro Bucalo, Katie G. Kirchoff, Jean B. Craig, Jihad S. Obeid, Vianney Jouhet, Romain Griffier, Sébastien Cossin, Bertrand Moal, Lav P. Patel, Antonio Bellasi, Hans-Ulrich Prokosch, Detlef Kraska, Piotr Sliz, Amelia L. M. Tan, Kee Yuan Ngiam, Alberto Zambelli, Danielle L. Mowery, Emily Schriver, Batsal Devkota, Robert L. Bradford, Mohamad Daniar, Christel Daniel, Vincent Benoit, Romain Bey, Nicolas Paris, Patricia Serre, Nina Orlova, Julien Dubiel, Martin Hilka, Anne-Sophie Jannot, Stéphane Bréant, Judith Leblanc, Nicolas Griffon, Anita Burgun, Mélodie Bernaux, Arnaud Sandrin, Elisa Salamanca, Sylvie Cormont, Thomas Ganslandt, Tobias Gradinger, Julien Champ, Martin Boeker, Patricia Martel, Loic Esteve, Alexandre Gramfort, Olivier Grisel, Damien Leprovost, Thomas Moreau, Gaël Varoquaux, Jill-Jênn Vie, Demian Wassermann, Arthur Mensch, Charlotte Caucheteux, Christian Haverkamp, Guillaume Lemaitre, Silvano Bosari, Ian D. Krantz, Andrew M. South, Tianxi Cai, Isaac S. Kohane:
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digit. Medicine 3 (2020) - [c11]Jiamin Yin, Kee Yuan Ngiam, Hock-Hai Teo:
Work Design in Healthcare Artificial Intelligence Applications: The Role of Advice Provision Timing. ICIS 2020 - [c10]Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Wei Wang, Kee Yuan Ngiam, Beng Chin Ooi:
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications. SIGMOD Conference 2020: 1747-1763 - [i5]Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Wei Wang, Kee Yuan Ngiam, Beng Chin Ooi:
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications. CoRR abs/2003.12012 (2020) - [i4]Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi:
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines. CoRR abs/2010.10246 (2020)
2010 – 2019
- 2019
- [c9]Steven Kester Yuwono, Hwee Tou Ng, Kee Yuan Ngiam:
Learning from the Experience of Doctors: Automated Diagnosis of Appendicitis Based on Clinical Notes. BioNLP@ACL 2019: 11-19 - [i3]Ziyuan Pan, Hao Du, Kee Yuan Ngiam, Fei Wang, Ping Shum, Mengling Feng:
A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care. CoRR abs/1901.04364 (2019) - [i2]Siqi Liu, Kee Yuan Ngiam, Mengling Feng:
Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey. CoRR abs/1907.09475 (2019) - 2018
- [c8]Zhaojing Luo, Shaofeng Cai, Jinyang Gao, Meihui Zhang, Kee Yuan Ngiam, Gang Chen, Wang-Chien Lee:
Adaptive Lightweight Regularization Tool for Complex Analytics. ICDE 2018: 485-496 - [c7]Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, Ying Zhang, Xiaojie Yuan:
Medical Concept Embedding with Time-Aware Attention. IJCAI 2018: 3984-3990 - [c6]Brian Y. Lim, Danding Wang, Tze Ping Loh, Kee Yuan Ngiam:
Interpreting Intelligibility under Uncertain Data Imputation. IUI Workshops 2018 - [c5]Jian Dai, Meihui Zhang, Gang Chen, Ju Fan, Kee Yuan Ngiam, Beng Chin Ooi:
Fine-grained Concept Linking using Neural Networks in Healthcare. SIGMOD Conference 2018: 51-66 - [i1]Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, Ying Zhang, Xiaojie Yuan:
Medical Concept Embedding with Time-Aware Attention. CoRR abs/1806.02873 (2018) - 2017
- [c4]Kaiping Zheng, Wei Wang, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, James Wei Luen Yip:
Capturing Feature-Level Irregularity in Disease Progression Modeling. CIKM 2017: 1579-1588 - [c3]Kaiping Zheng, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, James Wei Luen Yip:
Resolving the Bias in Electronic Medical Records. KDD 2017: 2171-2180 - [p1]Chonho Lee, Zhaojing Luo, Kee Yuan Ngiam, Meihui Zhang, Kaiping Zheng, Gang Chen, Beng Chin Ooi, James Wei Luen Yip:
Big Healthcare Data Analytics: Challenges and Applications. Handbook of Large-Scale Distributed Computing in Smart Healthcare 2017: 11-41 - 2016
- [c2]Steven Kester Yuwono, Hwee Tou Ng, Kee Yuan Ngiam:
Automated Anonymization as Spelling Variant Detection. ClinicalNLP@COLING 2016 2016: 99-103 - [c1]Arjun P. Athreya, Kee Yuan Ngiam, Zhaojing Luo, E. Shyong Tai, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Towards longitudinal analysis of a population's electronic health records using factor graphs. BDCAT 2016: 79-86
Coauthor Index
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