DSpace@İnönü

Yazar "Machado, A.P." için listeleme

Yazar "Machado, A.P." için listeleme

Sırala: Sıra: Sonuçlar:

  • Prediction of clinical outcomes in women with placenta accreta spectrum using machine learning models: an international multicenter study 
    Shazly, S.A.; Hortu, I.; Shih, J.-C.; Melekoglu, R.; Fan, S.; Ahmed, F.U.A.; Karaman, E.; Fatkullin, I.; Pinto, P.V.; Irianti, S.; Tochie, J.N.; Abdelbadie, A.S.; Ergenoglu, A.M.; Yeniel, A.O.; Sagol, S.; Itil, I.M.; Kang, J.; Huang, K.-Y.; Yilmaz, E.; Liang, Y.; Aziz, H.; Akhter, T.; Ambreen, A.; Ateş, Ç.; Karaman, Y.; Khasanov, A.; Larisa, F.; Akhmadeev, N.; Vatanina, A.; Machado, A.P.; Montenegro, N.; Effendi, J.S.; Suardi, D.; Pramatirta, A.Y.; Aziz, M.A.; Siddiq, A.; Ofakem, I.; Dohbit, J.S.; Fahmy, M.S.; Anan, M.A.; and Middle East Obstetrics and Gynecology Graduate Education (MOGGE) foundation-Artificial intelligence (AI) unit (2021)
    Introduction: Placenta 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 ...
  • Prediction of success of uterus-preserving management in women with placenta accreta spectrum (CON-PAS score): A multicenter international study 
    Shazly, S.A.; Hortu, I.; Shih, J.-C.; Melekoglu, R.; Fan, S.; Ahmed, F.U.A.; Karaman, E.; Fatkullin, I.; Pinto, P.V.; Irianti, S.; Tochie, J.N.; Abdelbadie, A.S.; Salah, M.A.; Elazeem, H.A.S.A.; Saad, M.M.; Ergenoglu, A.M.; Yeniel, A.O.; Sagol, S.; Itil, I.M.; Kang, J.; Huang, K.-Y.; Yilmaz, E.; Liang, Y.; Aziz, H.; Akhter, T.; Ambreen, A.; Ateş, Ç.; Karaman, Y.; Khasanov, A.; Fatkullina, L.; Akhmadeev, N.; Vatanina, A.; Machado, A.P.; Montenegro, N.; Effendi, J.S.; Suardi, D.; Pramatirta, A.Y.; Aziz, M.A.; Siddiq, A.; Ofakem, I.; Dohbit, J.S.; Fahmy, M.S.; Anan, M.A. (2021)
    Objective: To create a model for prediction of success of uterine-preserving procedures in women with placenta accreta spectrum (PAS). Methods: PAS-ID is a multicenter study that included 11 centers from 9 countries. Women ...
  • Prediction of clinical outcomes in women with placenta accreta spectrum using machine learning models: an international multicenter study 
    Shazly, S.A.; Hortu, I.; Shih, J.-C.; Melekoglu, R.; Fan, S.; Ahmed, F.U.A.; Karaman, E.; Fatkullin, I.; Pinto, P.V.; Irianti, S.; Tochie, J.N.; Abdelbadie, A.S.; Ergenoglu, A.M.; Yeniel, A.O.; Sagol, S.; Itil, I.M.; Kang, J.; Huang, K.-Y.; Yilmaz, E.; Liang, Y.; Aziz, H.; Akhter, T.; Ambreen, A.; Ateş, Ç.; Karaman, Y.; Khasanov, A.; Larisa, F.; Akhmadeev, N.; Vatanina, A.; Machado, A.P.; Montenegro, N.; Effendi, J.S.; Suardi, D.; Pramatirta, A.Y.; Aziz, M.A.; Siddiq, A.; Ofakem, I.; Dohbit, J.S.; Fahmy, M.S.; Anan, M.A.; and Middle East Obstetrics and Gynecology Graduate Education (MOGGE) foundation-Artificial intelligence (AI) unit (2022)
    Introduction: Placenta 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 ...