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

Autor: Brown, Mark A., Davis, Gregory K., Parker, Claire, Walters, Barry N., 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, Lim, Kenneth I., 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., Moore, M. Peter, 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, Thangaratinam, Shakila, Nicolaides, Kypros H., Ionescu, Olivia, Syngelaki, Argyro, de Swiet, Michael, Magee, Laura A., von Dadelszen, Peter, Akolekar, Ranjit, Walker, James J., Robson, Stephen C., Broughton-Pipkin, Fiona, Loughna, Pamela, Vatish, Manu, Redman, Christopher W.G., Barry, Sarah J.E., Kavanagh, Kimberley, Montgomery-Csobán, Tunde, Murray, Paul, Robertson, Chris, Tsigas, Eleni Z., Woelkers, Douglas A., Lindheimer, Marshall D., Grobman, William A., Sibai, Baha M., Merialdi, Mario, Widmer, Mariana, Montgomery-Csobán, Tünde, Barry, Sarah J E, Vivian Ukah, U, Payne, Beth A, Nicolaides, Kypros H, Hutcheon, Jennifer A, Magee, Laura A

Publikováno v: In The Lancet Digital Health April 2024 6(4):e238-e250

Blood pressure thresholds in pregnancy for identifying maternal and infant risk: a secondary analysis of Community-Level Interventions for Pre-eclampsia (CLIP) trial data

Autor: Woo Kinshella, Mai-Lei, Wong, Hubert, Vilanculo, Faustino, Vala, Anifa, Ukah, Ugochi V, Tu, Domena K, Thabane, Lehana, Tchavana, Corsino, Thornton, Jim, Sotunsa, John O, Sheikh, Sana, Sharma, Sumedha, Schuurman, Nadine, Sawchuck, Diane, Revankar, Amit P, Raza, Farrukh, Ramdurg, Umesh Y, Pires, Rosa, Payne, Beth A, Nobela, Vivalde, Nkumbula, Cláudio, Nhancolo, Ariel, Nhamirre, Zefanias, Mungarwadi, Geetanjali I, Mulungo, Dulce, Mocumbi, Sibone, Mitton, Craig, Merialdi, Mario, Memon, Javed, Matavele, Analisa, Mastiholi, Sphoorthi S, Mandlate, Ernesto, Maculuve, Sónia, Macuacua, Salésio, Macete, Eusébio, Macamo, Marta, Lui, Mansun, Li, Jing, Lewis, Gwyneth, Lewin, Simon, Lee, Tang, Langer, Ana, Kudachi, Uday S, Kodkany, Bhalachandra S, Knight, Marian, Kengapur, Gudadayya S, Kavi, Avinash J, Katageri, Geetanjali M, Kariya, Chirag, Karadiguddi, Chandrappa C, Kamble, Namdev A, Joshi, Anjali M, Hutton, Eileen, Hussain, Amjad, Hoodbhoy, Zahra, Honnungar, Narayan V, Grobman, William, Gonçálves, Emília, Firoz, Tabassum, Fillipi, Veronique, Filimone, Paulo, Engelbrecht, Susheela M, Dunsmuir, Dustin T, Dumont, Guy, Drebit, Sharla K, Donnay, France, Dharamsi, Shafik, Dhamanekar, Vaibhav B, Derman, Richard, Darlow, Brian, Cutana, Silvestre, Chougala, Keval S, Chiaú, Rogério, Charantimath, Umesh S, Byaruhanga, Romano Nkumbwa, Boene, Helena, Biz, Ana Ilda, Bique, Cassimo, Betrán, Ana Pilar, Bannale, Shashidhar G, Augusto, Orvalho, Ansermino, J Mark, Amose, Felizarda, Ahmed, Imran, Adetoro, Olalekan O, Bone, Jeffrey N ^*, Magee, Laura A ^{*, *}, Singer, Joel, Nathan, Hannah, Qureshi, Rahat N, Sacoor, Charfudin, Sevene, Esperança, Shennan, Andrew, Bellad, Mrutyunjaya B, Goudar, Shivaprasad S, Mallapur, Ashalata A, Munguambe, Khátia, Vidler, Marianne, Bhutta, Zulfiqar A, von Dadelszen, Peter

Publikováno v: In The Lancet Global Health August 2021 9(8):e1119-e1128

Community level interventions for pre-eclampsia (CLIP) in India: A cluster randomised controlled trial

Autor: Bellad, Mrutunjaya B., Goudar, Shivaprasad S., Mallapur, Ashalata A., Sharma, Sumedha, Bone, Jeffrey, Charantimath, Umesh S., Katageri, Geetanjali M., Ramadurg, Umesh Y, Mark Ansermino, J., Derman, Richard J., Dunsmuir, Dustin T., Honnungar, Narayan V., Karadiguddi, Chandrashekhar, Kavi, Avinash J., Kodkany, Bhalachandra S., Lee, Tang, Li, Jing, Nathan, Hannah L., Payne, Beth A., Revankar, Amit P., Shennan, Andrew H., Singer, Joel, Tu, Domena K., Vidler, Marianne, Wong, Hubert, Bhutta, Zulfiqar A., Magee, Laura A., von Dadelszen, Peter

Publikováno v: In Pregnancy Hypertension: An International Journal of Women's Cardiovascular Health July 2020 21:166-175

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

Autor: 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, von Dadelszen, Peter, Brown, Mark A., Davis, Gregory K., Parker, Claire, Walters, Barry N., 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, Lim, Kenneth I., 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., Moore, M. Peter, 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, Thangaratinam, Shakila, Nicolaides, Kypros H., Ionescu, Olivia, Syngelaki, Argyro, de Swiet, Michael, Magee, Laura A., von Dadelszen, Peter, Akolekar, Ranjit, Walker, James J., Robson, Stephen C., Broughton-Pipkin, Fiona, Loughna, Pamela, Vatish, Manu, Redman, Christopher W.G., Barry, Sarah J.E., Kavanagh, Kimberley, Montgomery-Csobán, Tunde, Murray, Paul, Robertson, Chris, Tsigas, Eleni Z., Woelkers, Douglas A., Lindheimer, Marshall D., Grobman, William A., Sibai, Baha M., Merialdi, Mario, Widmer, Mariana

Publikováno v: The Lancet Digital Health; April 2024, Vol. 6 Issue: 4 pe238-e250, 13p

Moving beyond silos: How do we provide distributed personalized medicine to pregnant women everywhere at scale? Insights from PRE-EMPT

Autor: von Dadelszen, Peter, Magee, Laura A., Payne, Beth A., Dunsmuir, Dustin T., Drebit, Sharla, Dumont, Guy A., Miller, Suellen, Norman, Jane, Pyne-Mercier, Lee, Shennan, Andrew H., Donnay, France, Bhutta, Zulfiqar A., Ansermino, J. Mark

Publikováno v: In International Journal of Gynecology and Obstetrics October 2015 131 Supplement 1:S10-S15