Privacy-hardened and hallucination-resistant synthetic data generation with logic-solvers

Autor: Burgess, Mark A., Hosking, Brendan, Reguant, Roc, Kaphle, Anubhav, O'Brien, Mitchell J., Sng, Letitia M. F., Jain, Yatish, Bauer, Denis C.

Machine-generated data is a valuable resource for training Artificial Intelligence algorithms, evaluating rare workflows, and sharing data under stricter data legislations. The challenge is to generate data that is accurate and private. Current stati

Externí odkaz: http://arxiv.org/abs/2410.16705

An Approach for Generating Realistic Australian Synthetic Healthcare Data.

Autor: DIOUF, Ibrahima, GRIMES, John, O'BRIEN, Mitchell J., HASSANZADEH, Hamed, TRURAN, Donna, NGO, Hoa, RANIGA, Parnesh, LAWLEY, Michael, BAUER, Denis C., HANSEN, David, KHANNA, Sankalp, REGUANT, Roc

Publikováno v: Studies in Health Technology & Informatics; 2023, Vol. 310, p820-824, 5p

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An Approach for Generating Realistic Australian Synthetic Healthcare Data.

Autor: Diouf I; Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Australia., Grimes J; Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Australia., O'Brien MJ; Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Australia., Hassanzadeh H; Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Australia., Truran D; Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Australia., Ngo H; Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Australia., Raniga P; Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Australia., Lawley M; Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Australia., Bauer DC; Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Australia.; Macquarie University, Department of Biomedical Sciences, Faculty of Medicine and Health Science, Macquarie Park, Australia.; Macquarie University, Applied BioSciences, Faculty of Science and Engineering, Macquarie Park, Australia., Hansen D; Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Australia., Khanna S; Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Australia., Reguant R; Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Australia.

Publikováno v: Studies in health technology and informatics [Stud Health Technol Inform] 2024 Jan 25; Vol. 310, pp. 820-824.