Kee Yuan Ngiam

Orcid: 0000-0001-5676-2520

According to our database1, Kee Yuan Ngiam authored at least 26 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
HoloPOCUS: Portable Mixed-Reality 3D Ultrasound Tracking, Reconstruction and Overlay.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

Context-aware deep network for coronary artery stenosis classification in coronary CT angiography.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.
npj Digit. Medicine, 2022

SurvMaximin: Robust federated approach to transporting survival risk prediction models.
J. Biomed. Informatics, 2022

2021
Improving Data Analytics with Fast and Adaptive Regularization.
IEEE Trans. Knowl. Data Eng., 2021

Mobile health applications for older adults: a systematic review of interface and persuasive feature design.
J. Am. Medical Informatics Assoc., 2021

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data.
J. Am. Medical Informatics Assoc., 2021

PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.
npj Digit. Medicine, 2020

Healthcare Transformation in Singapore With Artificial Intelligence.
Frontiers Digit. Health, 2020

MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines.
CoRR, 2020

TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications.
Proceedings of the 2020 International Conference on Management of Data, 2020

Work Design in Healthcare Artificial Intelligence Applications: The Role of Advice Provision Timing.
Proceedings of the 41st International Conference on Information Systems, 2020

2019
Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey.
CoRR, 2019

A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care.
CoRR, 2019

Learning from the Experience of Doctors: Automated Diagnosis of Appendicitis Based on Clinical Notes.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

2018
Fine-grained Concept Linking using Neural Networks in Healthcare.
Proceedings of the 2018 International Conference on Management of Data, 2018

Interpreting Intelligibility under Uncertain Data Imputation.
Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

Medical Concept Embedding with Time-Aware Attention.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Adaptive Lightweight Regularization Tool for Complex Analytics.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Resolving the Bias in Electronic Medical Records.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Capturing Feature-Level Irregularity in Disease Progression Modeling.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Big Healthcare Data Analytics: Challenges and Applications.
Proceedings of the Handbook of Large-Scale Distributed Computing in Smart Healthcare, 2017

2016
Towards longitudinal analysis of a population's electronic health records using factor graphs.
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016

Automated Anonymization as Spelling Variant Detection.
Proceedings of the Clinical Natural Language Processing Workshop, 2016


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