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Tunde Montgomery Csoban

Observed names: Csoban, Tunde, Montgomery-Csoban, Tunde, T. Csoban, Tunde Csoban, Tünde Montgomery-Csobán
Observed institution: University of Strathclyde
ORCID: 0000-0002-0498-3732
Observed ORCID: 0000-0002-0498-3732
OpenAlex ID: A5092927904
Development and External Validation of Mini PIERSdynamic Model for Predicting the Adverse Maternal Outcome of Preeclampsia in Low-Resource Settings
2026 · Guiyou Yang, Tünde Montgomery-Csobán, et al. · Hypertension
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Scottish and German Perspectives on Access to Longitudinal Research Data in Education
2026 · Aßmann, Christian, Bergrab, Michael, et al. · Zenodo (CERN European Organization for Nuclear Research)
Performance of the Pre-Eclampsia Integrated Estimate of Risk–Machine Learning (PIERS-ML) model in a Kenyan cohort of women with pre-eclampsia- a retrospective test derivation validation study
2026 · Felix Nyagaka, Tünde Montgomery-Csobán, et al. · BMC Pregnancy and Childbirth
Performance of the Pre-eclampsia Integrated Estimate of Risk-Machine Learning (PIERS-ML) model in a Kenyan cohort of women with pree-eclampsia
2026 · Felix Nyagaka, Ingrid Gichere, et al. · Pregnancy Hypertension
panPIERS: A tool for risk prediction of adverse maternal outcomes for patients with pre-eclampsia using incomplete data
2024 · Tunde Montgomery Csoban, Kimberley Kavanagh, et al. · Pregnancy Hypertension
External validation of the PIERS-AI model in a UK cohort of women with pre-eclampsia
2024 · Tunde Montgomery Csoban, Olivia Ionescu, et al. · Pregnancy Hypertension
OP05_3. Time-of-disease risk prediction of adverse maternal outcomes of pre-eclampsia using artificial intelligence
2023 · T. Csoban, P. Murray, et al. · Pregnancy Hypertension
Works count: 10
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