Shazly, Sherif ASherif AShazlyHortu, IsmetIsmetHortuJIN-CHUNG SHIHMelekoglu, RaufRaufMelekogluFan, ShangrongShangrongFanAhmed, Farhat Ul AinFarhat Ul AinAhmedKaraman, ErbilErbilKaramanFatkullin, IldarIldarFatkullinPinto, Pedro VPedro VPintoIrianti, SetyoriniSetyoriniIriantiTochie, Joel NoutakdieJoel NoutakdieTochieAbdelbadie, Amr SAmr SAbdelbadieErgenoglu, Ahmet MAhmet MErgenogluYeniel, Ahmet OAhmet OYenielSagol, SermetSermetSagolItil, Ismail MIsmail MItilJessica KANGHuang, Kuan-YingKuan-YingHuangYilmaz, ErcanErcanYilmazLiang, YihengYihengLiangAziz, HijabHijabAzizAkhter, TayyibaTayyibaAkhterAmbreen, AfshanAfshanAmbreenAteş, ÇağrıÇağrıAteşKaraman, YaseminYaseminKaramanKhasanov, AlbirAlbirKhasanovLarisa, FatkullinaFatkullinaLarisaAkhmadeev, NarimanNarimanAkhmadeevVatanina, AdelinaAdelinaVataninaMachado, Ana PaulaAna PaulaMachadoMontenegro, NunoNunoMontenegroEffendi, Jusuf SJusuf SEffendiSuardi, DodiDodiSuardiPramatirta, Ahmad YAhmad YPramatirtaAziz, Muhamad AMuhamad AAzizSiddiq, AmiliaAmiliaSiddiqOfakem, IngridIngridOfakemDohbit, Julius SamaJulius SamaDohbitFahmy, Mohamed SMohamed SFahmyAnan, Mohamed AMohamed AAnan2021-09-282021-09-28202214767058https://scholars.lib.ntu.edu.tw/handle/123456789/583797Placenta accreta spectrum is a major obstetric disorder that is associated with significant morbidity and mortality. The objective of this study is to establish a prediction model of clinical outcomes in these women.enObstetric hemorrhage; cesarean hysterectomy; machine learning; morbidly adherent placenta; placenta accreta spectrum; placenta praevia[SDGs]SDG3[SDGs]SDG5Prediction of clinical outcomes in women with placenta accreta spectrum using machine learning models: an international multicenter studyjournal article10.1080/14767058.2021.1918670342335552-s2.0-85111741739https://scholars.lib.ntu.edu.tw/handle/123456789/583743