Prediction of clinical outcomes in women with placenta accreta spectrum using machine learning models: an international multicenter study.
Sherif Abdelkarim ShazlyIsmet HortuJin-Chung ShihRauf MelekogluShangrong FanFarhat Ul Ain AhmedErbil KaramanIldar FatkullinPedro V PintoSetyorini IriantiJoel Noutakdie TochieAmr S AbdelbadieAhmet M ErgenogluAhmet O YenielSermet SagolIsmail M ItilJessica KangKuan-Ying HuangErcan YilmazYiheng LiangHijab AzizTayyiba AkhterAfshan AmbreenÇağrı AteşYasemin KaramanAlbir KhasanovFatkullina LarisaNariman AkhmadeevAdelina VataninaAna Paula MachadoNuno MontenegroJusuf S EffendiDodi SuardiAhmad Y PramatirtaMuhamad A AzizAmilia SiddiqIngrid OfakemJulius Sama DohbitMohamed S FahmyMohamed A Anannull nullPublished in: The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians (2021)
ML models can be used to calculate the individualized risk of morbidity in women with PAS. Model-based risk assessment facilitates a priori delineation of management.
Keyphrases