A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources G Ghosheh, J Li, T Zhu https://dl.acm.org/doi/full/10.1145/3636424, 2022 | 23 | 2022 |
Synthesizing mixed-type electronic health records using diffusion models T Ceritli, GO Ghosheh, VK Chauhan, T Zhu, AP Creagh, DA Clifton arXiv preprint arXiv:2302.14679, 2023 | 8 | 2023 |
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources. arXiv [cs. LG]. 2022 G Ghosheh, J Li, T Zhu URL https://arxiv. org/abs/2203.07018 v2, 0 | 5 | |
Synthesizing electronic health records for predictive models in low-middle-income countries (LMICs) GO Ghosheh, CL Thwaites, T Zhu Biomedicines 11 (6), 1749, 2023 | 4 | 2023 |
A survey of generative adversarial networks for synthesizing structured electronic health records GO Ghosheh, J Li, T Zhu ACM Computing Surveys 56 (6), 1-34, 2024 | 3 | 2024 |
Dynamic inter-treatment information sharing for heterogeneous treatment effects estimation VK Chauhan, J Zhou, S Molaei, G Ghosheh, DA Clifton arXiv preprint arXiv:2305.15984, 2023 | 3 | 2023 |
Clinical prediction system of complications among patients with COVID-19: A development and validation retrospective multicentre study during first wave of the pandemic GO Ghosheh, B Alamad, KW Yang, F Syed, N Hayat, I Iqbal, F Al Kindi, ... Intelligence-based medicine 6, 100065, 2022 | 3 | 2022 |
Dynamic inter-treatment information sharing for individualized treatment effects estimation VK Chauhan, J Zhou, G Ghosheh, S Molaei, DA Clifton International Conference on Artificial Intelligence and Statistics, 3529-3537, 2024 | 1 | 2024 |
IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records GO Ghosheh, J Li, T Zhu arXiv preprint arXiv:2401.04402, 2024 | 1 | 2024 |
Opportunities and challenges of introducing digital health training in medical and health sciences education in Palestine MJ Ghosheh, GO Ghosheh STEM Education Approaches and Challenges in the MENA Region, 128-167, 2023 | 1 | 2023 |
Understanding Missingness in Time-series Electronic Health Records for Individualized Representation GO Ghosheh, J Li, T Zhu arXiv preprint arXiv:2402.15730, 2024 | | 2024 |
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation using Graph Neural Networks S Molaei, NG Bousejin, GO Ghosheh, A Thakur, VK Chauhan, T Zhu, ... | | 2024 |
A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data GO Ghosheh, M Gögl, T Zhu arXiv preprint arXiv:2402.04668, 2024 | | 2024 |
The development of an explainable machine learning system for predicting brain atrophies from electronic health records M Ghosheh, G Ghosheh, J Ghosheh Alzheimer's & Dementia 19, e080697, 2023 | | 2023 |
The evaluation of translated neuropsychological assessments tools for the early detection of mild cognitive impairment (MCI) in low‐and middle‐income countries (LMICs) M Ghosheh, G Ghosheh, J Ghosheh Alzheimer's & Dementia 19, e080014, 2023 | | 2023 |
Development and validation of a parsimonious prediction model for positive urine cultures in outpatient visits GO Ghosheh, TL St John, P Wang, VN Ling, LR Orquiola, N Hayat, ... PLOS Digital Health 2 (11), e0000306, 2023 | | 2023 |
Synthesizing Electronic Health Records for Predictive Models in Low-Middle-Income Countries (LMICs). Biomedicines 2023, 11, 1749 GO Ghosheh, CL Thwaites, T Zhu | | 2023 |
10 Development and evaluation of a machine learning model to predict positive urine cultures in the outpatient setting and minimize the use of antibiotics FE Shamout, P Wang, N Hayat, VN Ling, TL St John, G Ghosheh, ... BMJ Health & Care Informatics 29 (Suppl 1), 2022 | | 2022 |
Clinical prediction system of complications among COVID-19 patients: a development and validation retrospective multicentre study GO Ghosheh, B Alamad, KW Yang, F Syed, N Hayat, I Iqbal, FA Kindi, ... arXiv preprint arXiv:2012.01138, 2020 | | 2020 |