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Development of mHealth applications for pre-eclampsia triage.
Dunsmuir DT, Payne BA, Cloete G, Petersen CL, Görges M, Lim J, von Dadelszen P, Dumont GA, Ansermino JM. Dunsmuir DT, et al. Among authors: cloete g. IEEE J Biomed Health Inform. 2014 Nov;18(6):1857-64. doi: 10.1109/JBHI.2014.2301156. IEEE J Biomed Health Inform. 2014. PMID: 25375683
Assessing the incremental value of blood oxygen saturation (SpO(2)) in the miniPIERS (Pre-eclampsia Integrated Estimate of RiSk) Risk Prediction Model.
Payne BA, Hutcheon JA, Dunsmuir D, Cloete G, Dumont G, Hall D, Lim J, Magee LA, Sikandar R, Qureshi R, Papendorp EV, Mark Ansermino J, Dadelszen PV. Payne BA, et al. Among authors: cloete g. J Obstet Gynaecol Can. 2015 Jan;37(1):16-24. doi: 10.1016/S1701-2163(15)30358-3. J Obstet Gynaecol Can. 2015. PMID: 25764032 Clinical Trial.
Machine learning-enabled maternal risk assessment for women with pre-eclampsia (the PIERS-ML model): a modelling study.
Montgomery-Csobán T, Kavanagh K, Murray P, Robertson C, Barry SJE, Vivian Ukah U, Payne BA, Nicolaides KH, Syngelaki A, Ionescu O, Akolekar R, Hutcheon JA, Magee LA, von Dadelszen P; PIERS Consortium. Montgomery-Csobán T, et al. Lancet Digit Health. 2024 Apr;6(4):e238-e250. doi: 10.1016/S2589-7500(23)00267-4. Lancet Digit Health. 2024. PMID: 38519152 Free PMC article.
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