Evaluating a longitudinal synthetic data generator using real world data

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26033

Title:	Evaluating a longitudinal synthetic data generator using real world data
Authors:	Wang, Z Myles, P Jain, A Keidel, JL Liddi, R Mackillop, L Velardo, C Tucker, A
Keywords:	synthetic data;Bayesian networks;machine learning;diabetes
Issue Date:	7-Jun-2021
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Citation:	Wang, Z. et al. (2021) 'Evaluating a longitudinal synthetic data generator using real world data', 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), Aveiro, Portugal, 7-9 June, pp. 259-264. doi: 10.1109/CBMS52027.2021.00074.
URI:	https://bura.brunel.ac.uk/handle/2438/26033
DOI:	https://doi.org/10.1109/CBMS52027.2021.00074
ISBN:	978-1-6654-4121-6 (ebk) 978-1-6654-3107-1 (PoD)
ISSN:	2372-918X
Appears in Collections:	Dept of Computer Science Research Papers

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