Machine learning-enabled maternal risk assessment for women with pre-eclampsia (the PIERS-ML model): a modelling study

Affecting 2–4% of pregnancies, pre-eclampsia is a leading cause of maternal death and morbidity worldwide. Using routinely available data, we aimed to develop and validate a novel machine learning-based and clinical setting-responsive time-of-disease model to rule out and rule in adverse maternal ou...

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Veröffentlicht in:	The Lancet. Digital health 2024-04, Vol.6 (4), p.e238-e250
Hauptverfasser:	Montgomery-Csobán, Tünde, Kavanagh, Kimberley, Murray, Paul, Robertson, Chris, Barry, Sarah J E, Vivian Ukah, U, Payne, Beth A, Nicolaides, Kypros H, Syngelaki, Argyro, Ionescu, Olivia, Akolekar, Ranjit, Hutcheon, Jennifer A, Magee, Laura A, Brown, Mark A., Davis, Gregory K., Parker, Claire, Sass, Nelson, Ansermino, J. Mark, Cao, Vivien, Cundiff, Geoffrey W., von Dadelszen, Emma C.M., Douglas, M. Joanne, Dumont, Guy A., Dunsmuir, Dustin T., Hutcheon, Jennifer A., Joseph, K.S., Lalji, Sayrin, Lee, Tang, Li, Jing, Lisonkova, Sarka, Lott, Paula, Menzies, Jennifer M., Millman, Alexandra L., Palmer, Lynne, Payne, Beth A., Qu, Ziguang, Russell, James A., Sawchuck, Diane, Shaw, Dorothy, Still, D. Keith, Ukah, U. Vivian, Wagner, Brenda, Walley, Keith R., Hugo, Dany, Gruslin, The late Andrée, Tawagi, George, Smith, Graeme N., Côté, Anne-Marie, Moutquin, Jean-Marie, Ouellet, Annie B., Lee, Shoo K., Duan, Tao, Zhou, Jian, Haniff, The late Farizah, Mahajan, Swati, Noovao, Amanda, Karjalainend, Hanna, Kortelainen, Alja, Laivuori, Hannele, Ganzevoort, J. Wessel, Groen, Henk, Kyle, Phillipa M., Pullar, Barbra, Bhutta, Zulfiqar A., Qureshi, Rahat N., Sikandar, Rozina, Bhutta, The late Shereen Z., Cloete, Garth, Hall, David R., van Papendorp, The late Erika, Steyn, D. Wilhelm, Biryabarema, Christine, Mirembe, Florence, Nakimuli, Annettee, Allotey, John, Nicolaides, Kypros H., de Swiet, Michael, Magee, Laura A., von Dadelszen, Peter, Walker, James J., Robson, Stephen C., Broughton-Pipkin, Fiona, Loughna, Pamela, Vatish, Manu, Redman, Christopher W.G., Barry, Sarah J.E., Montgomery-Csobán, Tunde, Tsigas, Eleni Z., Woelkers, Douglas A., Lindheimer, Marshall D., Grobman, William A., Sibai, Baha M., Merialdi, Mario, Widmer, Mariana
Format:	Artikel
Sprache:	eng
Schlagworte:	Canada Female Humans Male Maternal Health Services Pre-Eclampsia - diagnosis Pregnancy Pregnancy Outcome Risk Assessment - methods Risk Factors
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