Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/22776
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dc.contributor.authorde Benedetti, J-
dc.contributor.authorOues, N-
dc.contributor.authorWang, Z-
dc.contributor.authorMyles, P-
dc.contributor.authorTucker, A-
dc.date.accessioned2021-05-27T13:49:48Z-
dc.date.available2020-01-01-
dc.date.available2021-05-27T13:49:48Z-
dc.date.issued2021-02-02-
dc.identifier.citationde Benedetti, J., Oues, N., Wang, Z., Myles, P. and Tucker, A. (2020) 'Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks', in: Koprinska I. et al. (eds.) ECML PKDD 2020 Workshops. ECML PKDD 2020. Communications in Computer and Information Science, 1323, pp. 38 - 47. Cham, Switzerland: Springer, Cham. doi: 10.1007/978-3-030-65965-3_3.en_US
dc.identifier.isbn978-3-030-65964-6-
dc.identifier.isbn978-3-030-65965-3-
dc.identifier.issn1865-0929-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/22776-
dc.descriptionJoint European Conference on Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2020: ECML PKDD 2020 Workshops, pp 38-47.-
dc.format.extent38 - 47-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherSpringer Nature Switzerland AG. Published in cooperation with the ECML PKDD communityen_US
dc.relation.ispartofECML PKDD 2020 Workshops. Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14–18, 2020, Proceedings-
dc.subjectsynthetic dataen_US
dc.subjecthealthcare dataen_US
dc.subjectBayesian networksen_US
dc.titlePractical Lessons from Generating Synthetic Healthcare Data with Bayesian Networksen_US
dc.typeConference paperen_US
dc.identifier.doihttps://doi.org/10.1007/978-3-030-65965-3_3-
dc.relation.isPartOfCommunications in Computer and Information Science-
pubs.publication-statusPublished-
pubs.volume1323-
dc.identifier.eissn1865-0937-
Appears in Collections:Dept of Computer Science Research Papers

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