Prediction of clinical outcomes in women with placenta accreta spectrum using machine learning models: an international multicenter study.
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| Title: | Prediction of clinical outcomes in women with placenta accreta spectrum using machine learning models: an international multicenter study. |
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| Authors: | Shazly SA; Department of Obstetrics and Gynaecology, Assiut University, Assiut, Egypt., Hortu I; Department of Obstetrics and Gynaecology, Ege University School of Medicine, Izmir, Turkey., Shih JC; Department of Obstetrics and Gynaecology, National Taiwan University College of Medicine, Taipei City, Taiwan., Melekoglu R; Department of Obstetrics and Gynaecology, Inonu University, Malatya, Turkey., Fan S; Department of Obstetrics and Gynaecology, Peking University Shenzhen Hospital, Shenzhen, China., Ahmed FUA; Department of Obstetrics and Gynaecology, Fatima Memorial Hospital, Lahore, Pakistan., Karaman E; Department of Obstetrics and Gynaecology, Yuzuncu Yil University, Van, Turkey., Fatkullin I; Department of Obstetrics and Gynaecology, Kazan State Medical University, Kazan, Russia., Pinto PV; Serviço de Ginecologia e Obstetrícia, Centro Hospitalar São João, Porto, Portugal., Irianti S; Taskforce of Placenta Accreta Spectrum, Universitas Padjadjaran Bandung, Bandung, Indonesia., Tochie JN; Faculty of Medicine and Biomedical Sciences, Department of Obstetrics and Gynaecology, University of Yaoundé I, Yaoundé, Cameroon., Abdelbadie AS; Department of Obstetrics and Gynaecology, Aswan University Hospital, Aswan, Egypt., Ergenoglu AM; Department of Obstetrics and Gynaecology, Ege University School of Medicine, Izmir, Turkey., Yeniel AO; Department of Obstetrics and Gynaecology, Ege University School of Medicine, Izmir, Turkey., Sagol S; Department of Obstetrics and Gynaecology, Ege University School of Medicine, Izmir, Turkey., Itil IM; Department of Obstetrics and Gynaecology, Ege University School of Medicine, Izmir, Turkey., Kang J; Department of Obstetrics and Gynaecology, National Taiwan University College of Medicine, Taipei City, Taiwan., Huang KY; Department of Obstetrics and Gynaecology, National Taiwan University College of Medicine, Taipei City, Taiwan., Yilmaz E; Department of Obstetrics and Gynaecology, Inonu University, Malatya, Turkey., Liang Y; Department of Obstetrics and Gynaecology, Peking University Shenzhen Hospital, Shenzhen, China., Aziz H; Department of Obstetrics and Gynaecology, Fatima Memorial Hospital, Lahore, Pakistan., Akhter T; Department of Obstetrics and Gynaecology, Fatima Memorial Hospital, Lahore, Pakistan., Ambreen A; Department of Obstetrics and Gynaecology, Fatima Memorial Hospital, Lahore, Pakistan., Ateş Ç; Department of Obstetrics and Gynaecology, Yuzuncu Yil University, Van, Turkey., Karaman Y; Department of Obstetrics and Gynaecology, Lokman Hekim Hayat Hospital, Van, Turkey., Khasanov A; Department of Obstetrics and Gynaecology, Kazan State Medical University, Kazan, Russia., Larisa F; Department of Obstetrics and Gynaecology, Kazan State Medical University, Kazan, Russia., Akhmadeev N; Department of Obstetrics and Gynaecology, Kazan State Medical University, Kazan, Russia., Vatanina A; Republic Clinical Hospital, Ministry of Healthcare of Republic of Tatarstan, Kazan, Russia., Machado AP; Serviço de Ginecologia e Obstetrícia, Centro Hospitalar São João, Porto, Portugal., Montenegro N; Serviço de Ginecologia e Obstetrícia, Centro Hospitalar São João, Porto, Portugal., Effendi JS; Taskforce of Placenta Accreta Spectrum, Universitas Padjadjaran Bandung, Bandung, Indonesia., Suardi D; Taskforce of Placenta Accreta Spectrum, Universitas Padjadjaran Bandung, Bandung, Indonesia., Pramatirta AY; Taskforce of Placenta Accreta Spectrum, Universitas Padjadjaran Bandung, Bandung, Indonesia., Aziz MA; Taskforce of Placenta Accreta Spectrum, Universitas Padjadjaran Bandung, Bandung, Indonesia., Siddiq A; Taskforce of Placenta Accreta Spectrum, Universitas Padjadjaran Bandung, Bandung, Indonesia., Ofakem I; Faculty of Medicine and Biomedical Sciences, Department of Obstetrics and Gynaecology, University of Yaoundé I, Yaoundé, Cameroon., Dohbit JS; Faculty of Medicine and Biomedical Sciences, Department of Obstetrics and Gynaecology, University of Yaoundé I, Yaoundé, Cameroon., Fahmy MS; Department of Obstetrics and Gynaecology, Aswan University Hospital, Aswan, Egypt., Anan MA; Department of Obstetrics and Gynaecology, Aswan University Hospital, Aswan, Egypt. |
| Corporate Authors: | and Middle East Obstetrics and Gynecology Graduate Education (MOGGE) foundation – Artificial intelligence (AI) unit |
| Source: | 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 [J Matern Fetal Neonatal Med] 2022 Dec; Vol. 35 (25), pp. 6644-6653. Date of Electronic Publication: 2021 Jul 07. |
| Publication Type: | Multicenter Study; Journal Article |
| Journal Info: | Publisher: Informa Healthcare Country of Publication: England NLM ID: 101136916 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-4954 (Electronic) Linking ISSN: 14764954 NLM ISO Abbreviation: J Matern Fetal Neonatal Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1476-4954 |
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| DOI: | 10.1080/14767058.2021.1918670 |
