By Mr Nic Kuo

Journal articles

Marchesi R; Micheletti N; I-Hsien Kuo N; Barbieri S; Jurman G; Osmani V, 2025, 'Generative AI mitigates representation bias and improves model fairness through synthetic health data', Plos Computational Biology, 21, http://dx.doi.org/10.1371/journal.pcbi.1013080

Barraclough JY; Gandomkar Z; Fletcher RA; Barbieri S; Kuo NIH; Rodgers A; Douglas K; Poppe KK; Woodward M; Luxan BG; Neal B; Jorm L; Brennan P; Arnott C, 2025, 'Predicting cardiovascular events from routine mammograms using machine learning', Heart, http://dx.doi.org/10.1136/heartjnl-2025-325705

Kuo NIH; Perez-Concha O; Hanly M; Mnatzaganian E; Hao B; Di Sipio M; Yu G; Vanjara J; Valerie IC; de Oliveira Costa J; Churches T; Lujic S; Hegarty J; Jorm L; Barbieri S, 2024, 'Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project', Jmir Medical Education, 10, http://dx.doi.org/10.2196/51388

Kuo NIH; Garcia F; Sönnerborg A; Böhm M; Kaiser R; Zazzi M; Polizzotto M; Jorm L; Barbieri S, 2023, 'Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: Example using antiretroviral therapy for HIV', Journal of Biomedical Informatics, 144, http://dx.doi.org/10.1016/j.jbi.2023.104436

Kuo NIH; Polizzotto MN; Finfer S; Garcia F; Sönnerborg A; Zazzi M; Böhm M; Kaiser R; Jorm L; Barbieri S, 2022, 'The Health Gym: synthetic health-related datasets for the development of reinforcement learning algorithms', Scientific Data, 9, http://dx.doi.org/10.1038/s41597-022-01784-7

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