Research Output 1983 2019

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An application of convolutional neural networks for the early detection of late-onset neonatal sepsis

Hu, Y., Lee, V. C. S. & Tan, K., 2019, International Joint Conference on Neural Networks (IJCNN) 2019. Angelov, P. & Roveri, M. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 8 p. 8851683

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

Neonatal heart rate prediction

Abdel-Rahman, Y., Jeremic, A. & Tan, K., 2009, Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. Pan, X. & Worrell, G. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 4695-4698 4 p. 5334205

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

Predicting the length of stay for neonates using heart-rate Markov models

Jeremic, A. & Tan, K., 2008, Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. p. 2912-2915 4 p. 4649812

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)

Prediction of clinicians' treatment in preterm infants with suspected late-onset sepsis - an ML approach

Hu, Y., .C.S. Lee, V. & Tan, K., 28 Jun 2018, Proceedings of The 13th IEEE Conference on Industrial Electronics and Applications (ICIEA 2018): 31 May – 2 June 2018 Wuhan, China. Jiang, L. & Zeng, L. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1177-1182 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review