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Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events.

N. Liu, J. Sakamoto, J. Cao, Z. Koh, A. Ho, Z. Lin, and M. Ong. Cogn. Comput., 9 (4): 545-554 (2017)

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Justin Eng Eng Lee

Angelika Eng

Kilian Ong

Untersuchung von Schichtsystemen für kristallisierte Dünnschichtsiliziumsolarzellen auf GlasK. Ong. TU Hamburg, (2009)

Arlene Ong

Hoang Ong

Other publications of authors with the same name

A Model-based Analysis of Evacuation Strategies in Hospital Emergency Departments.B. Su, J. Kwak, A. Pourghaderi, M. Lees, K. Tan, S. Loo, I. Chua, J. Quah, W. Cai, and M. Ong. WSC, page 1-12. IEEE, (2021)Multi-objective optimization for a hospital inpatient flow process via discrete event simulation.Y. Wang, L. Lee, E. Chew, S. Lam, S. Low, M. Ong, and H. Li. WSC, page 3622-3631. IEEE/ACM, (2015)Predictive Modeling of Hospital Readmissions with Sparse Bayesian Extreme Learning Machine.N. Liu, L. Low, S. Lam, J. Thumboo, and M. Ong. ELM, volume 11 of Proceedings in Adaptation, Learning and Optimization, page 191-196. Springer, (2018)Risk-Based AED Placement - Singapore Case.I. Derevitskii, N. Kogtikov, M. Lees, W. Cai, and M. Ong. ICCS (4), volume 12140 of Lecture Notes in Computer Science, page 577-590. Springer, (2020)A Novel Approach for Assessing Power Wheelchair Users' Mobility by Using Curve Fitting.J. Fu, F. Li, M. Ong, T. Cook, G. Qian, and Y. Zhao. HCI (17), volume 10917 of Lecture Notes in Computer Science, page 158-168. Springer, (2018)Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data.S. Li, Y. Shang, Z. Wang, Q. Wu, C. Hong, Y. Ning, D. Miao, M. Ong, B. Chakraborty, and N. Liu. CoRR, (2024)Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.M. Liu, S. Li, H. Yuan, M. Ong, Y. Ning, F. Xie, S. Saffari, V. Volovici, B. Chakraborty, and N. Liu. CoRR, (2022)AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data.H. Yuan, F. Xie, M. Ong, Y. Ning, M. Chee, S. Saffari, H. Abdullah, B. Goldstein, B. Chakraborty, and N. Liu. J. Biomed. Informatics, (2022)A Novel Interpretable Machine Learning System to Generate Clinical Risk Scores: An Application for Predicting Early Mortality or Unplanned Readmission in A Retrospective Cohort Study.Y. Ning, S. Li, M. Ong, F. Xie, B. Chakraborty, D. Ting, and N. Liu. AMIA, AMIA, (2022)AutoScore-Ordinal: An Interpretable Machine Learning Framework for Generating Scoring Models for Ordinal Outcomes.S. Saffari, Y. Ning, F. Xie, B. Chakraborty, V. Volovici, R. Vaughan, M. Ong, and N. Liu. AMIA, AMIA, (2022)

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Disambiguation of "Ong, Marcus Eng Hock"

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Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events.

Please choose a person to relate this publication to

Justin Eng Eng Lee

Angelika Eng

Kilian Ong

Arlene Ong

Hoang Ong

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ong, Marcus Eng Hock"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events.

Please choose a person to relate this publication to

Justin Eng Eng Lee

Angelika Eng

Kilian Ong

Arlene Ong

Hoang Ong

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events.