Ong MEH - Search Results

1

Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies.

Xie F, Yuan H, Ning Y, Ong MEH, Feng M, Hsu W, Chakraborty B, Liu N. Xie F, et al. Among authors: ong meh. J Biomed Inform. 2022 Feb;126:103980. doi: 10.1016/j.jbi.2021.103980. Epub 2021 Dec 30. J Biomed Inform. 2022. PMID: 34974189 Free article. Review.

2

Regarding "heart rate variability in patients with chest pain at the ED".

Ong ME, Liu N. Ong ME, et al. Am J Emerg Med. 2014 Mar;32(3):285. doi: 10.1016/j.ajem.2013.11.049. Epub 2013 Dec 7. Am J Emerg Med. 2014. PMID: 24388066 No abstract available.

3

Validation of a risk scoring model for prediction of acute cardiac complications in chest pain patients presenting to the Emergency Department.

Liu N, Goh J, Lin Z, Koh ZX, Fook-Chong S, Haaland B, Wai KL, Ting BP, Shahidah N, Ong ME. Liu N, et al. Int J Cardiol. 2014 Oct 20;176(3):1091-3. doi: 10.1016/j.ijcard.2014.07.122. Epub 2014 Aug 2. Int J Cardiol. 2014. PMID: 25125019 No abstract available.

4

Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection.

Liu N, Koh ZX, Goh J, Lin Z, Haaland B, Ting BP, Ong ME. Liu N, et al. BMC Med Inform Decis Mak. 2014 Aug 23;14:75. doi: 10.1186/1472-6947-14-75. BMC Med Inform Decis Mak. 2014. PMID: 25150702 Free PMC article.

5

Risk scoring for prediction of acute cardiac complications from imbalanced clinical data.

Liu N, Koh ZX, Chua EC, Tan LM, Lin Z, Mirza B, Ong ME. Liu N, et al. IEEE J Biomed Health Inform. 2014 Nov;18(6):1894-902. doi: 10.1109/JBHI.2014.2303481. IEEE J Biomed Health Inform. 2014. PMID: 25375686

6

Risk stratification for prediction of adverse coronary events in emergency department chest pain patients with a machine learning score compared with the TIMI score.

Liu N, Lee MA, Ho AF, Haaland B, Fook-Chong S, Koh ZX, Pek PP, Chua EC, Ting BP, Lin Z, Ong ME. Liu N, et al. Int J Cardiol. 2014 Dec 20;177(3):1095-7. doi: 10.1016/j.ijcard.2014.09.199. Epub 2014 Oct 7. Int J Cardiol. 2014. PMID: 25449521 No abstract available.

7

Predictive modeling in pediatric traumatic brain injury using machine learning.

Chong SL, Liu N, Barbier S, Ong ME. Chong SL, et al. BMC Med Res Methodol. 2015 Mar 17;15:22. doi: 10.1186/s12874-015-0015-0. BMC Med Res Methodol. 2015. PMID: 25886156 Free PMC article.

8

Predictors for moderate to severe paediatric head injury derived from a surveillance registry in the emergency department.

Chong SL, Barbier S, Liu N, Ong GY, Ng KC, Ong ME. Chong SL, et al. Injury. 2015 Jul;46(7):1270-4. doi: 10.1016/j.injury.2015.04.002. Epub 2015 Apr 15. Injury. 2015. PMID: 25907402

9

Manifold ranking based scoring system with its application to cardiac arrest prediction: A retrospective study in emergency department patients.

Liu T, Lin Z, Ong ME, Koh ZX, Pek PP, Yeo YK, Oh BS, Ho AF, Liu N. Liu T, et al. Comput Biol Med. 2015 Dec 1;67:74-82. doi: 10.1016/j.compbiomed.2015.10.001. Epub 2015 Oct 24. Comput Biol Med. 2015. PMID: 26498047

10

A prospective surveillance of paediatric head injuries in Singapore: a dual-centre study.

Chong SL, Chew SY, Feng JX, Teo PY, Chin ST, Liu N, Ong ME. Chong SL, et al. BMJ Open. 2016 Feb 23;6(2):e010618. doi: 10.1136/bmjopen-2015-010618. BMJ Open. 2016. PMID: 26908533 Free PMC article.

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