Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Banafsheh Boujarzadeh"'
Autor:
Amene Ranjbar, Sepideh Rezaei Ghamsari, Banafsheh Boujarzadeh, Vahid Mehrnoush, Fatemeh Darsareh
Publikováno v:
Gynecology and Obstetrics Clinical Medicine, Vol 3, Iss 3, Pp 170-174 (2023)
Background: Postpartum hemorrhage (PPH) could be avoided by identifying high-risk women. The objective of this systematic review is to determine PPH predictors using machine learning (ML) approaches. Method: This strategy included searching for studi
Externí odkaz:
https://doaj.org/article/b44751f5689247b48b7443f02b5075e9
Autor:
Amene Ranjbar, Maliheh Shirzadfard Jahromi, Banafsheh Boujarzadeh, Nasibeh Roozbeh, Vahid Mehrnoush, Fatemeh Darsareh
Publikováno v:
Gynecology and Obstetrics Clinical Medicine, Vol 3, Iss 2, Pp 100-105 (2023)
Objective: To assess the obstetric and neonatal outcomes associated with adolescent pregnancy in Iran. Methods: We retrospectively assessed women who gave birth between January 1st, 2020, and January 1st, 2022. These pregnant women were separated int
Externí odkaz:
https://doaj.org/article/b6b53f1f7faa410d923c903e45475f57
Autor:
Amene Ranjbar, Vahid Mehrnoush, Fatemeh Darsareh, Banafsheh Boujarzadeh, Farzaneh Banihashemi, Mozhgan Saffari
Publikováno v:
BMJ Open, Vol 13, Iss 1 (2023)
Introduction Postpartum haemorrhage (PPH) is the most serious clinical problem of childbirth that contributes significantly to maternal mortality worldwide. This systematic review aims to identify predictors of PPH based on a machine learning (ML) ap
Externí odkaz:
https://doaj.org/article/58bf5995141b497ab0bead21bdfe7e3e
Autor:
Banafsheh Boujarzadeh, Amene Ranjbar, Farzaneh Banihashemi, Vahid Mehrnoush, Fatemeh Darsareh, Mozhgan Saffari
Publikováno v:
BMJ Open. 13:e067661
IntroductionPostpartum haemorrhage (PPH) is the most serious clinical problem of childbirth that contributes significantly to maternal mortality worldwide. This systematic review aims to identify predictors of PPH based on a machine learning (ML) app