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Predicting perinatal outcomes in women affected by COVID-19..:
Biology Department, College of Science, University of Al-Qadisiyah, Al Diwaniyah, Iraq
;
Yousif, Maitham Ghaly
;
Zeiny, Luma
...
Journal of Medicine and Life. 16 (2023) 9 - p. 1421-1427 , 2023
Link:
https://doi.org/10.25122/jml-2023-0214
RT Journal T1
Predicting perinatal outcomes in women affected by COVID-19: An artificial intelligence (AI) approach
UL https://suche.suub.uni-bremen.de/peid=cr-10.25122_jml-2023-0214&Exemplar=1&LAN=DE A1 Biology Department, College of Science, University of Al-Qadisiyah, Al Diwaniyah, Iraq A1 Yousif, Maitham Ghaly A1 Zeiny, Luma A1 Tawfeeq, Shaymaa A1 Al-Amran, Fadhil A1 Sadeq, Alaa Mohammed A1 Al-Jumeily, Dhiya A1 Gynecology Department, College of Medicine, University of Kufa, Najaf, Iraq A1 Gynecology Department, College of Medicine, University of Kufa, Najaf, Iraq A1 Gynecology Department, College of Medicine, University of Kufa, Najaf, Iraq A1 Cardiovascular Department, College of Medicine, University of Kufa, Najaf, Iraq A1 Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, England PB S.C. JURNALUL PENTRU MEDICINA SI VIATA S.R.L YR 2023 SN 1844-3117 JF Journal of Medicine and Life VO 16 IS 9 SP 1421 OP 1427 LK http://dx.doi.org/https://doi.org/10.25122/jml-2023-0214 DO https://doi.org/10.25122/jml-2023-0214 SF ELIB - SuUB Bremen
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