Ultrasound Assessment of Cervical Status Compared to the Bishop Score-predicting the Success of Labor Induction Using a Machine Learning-based Model

Krsman, Anita; Grujić, Zorica; Čapko, Darko; Dragutinović, Đorđe; Baturan, Branislava; Nikolić, Aleksandra; Antić-Trifunović, K; Dickov, Isidora

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eNauka > Rezultati > Ultrasound Assessment of Cervical Status Compared to the Bishop Score-predicting the Success of Labor Induction Using a Machine Learning-based Model

Naziv:	Ultrasound Assessment of Cervical Status Compared to the Bishop Score-predicting the Success of Labor Induction Using a Machine Learning-based Model
Autori:	Krsman, Anita ; Grujić, Zorica ; Čapko, Darko ; Dragutinović, Đorđe ; Baturan, Branislava ; Nikolić, Aleksandra ; Antić-Trifunović, K; Dickov, Isidora
Godina:	2023
Publikacija:	European review for medical and pharmacological sciences
ISSN:	1128-3602 European Review for Medical and Pharmacological Sciences Pretraži identifikator
Izdavač:	Rome : Verduci
Tip rezultata:	Naučni članak
Kolacija:	vol. 27 br. 13 str. 6332-6342
DOI:	10.26355/eurrev_202307_32993
WoS-ID:	001045159300008
Scopus-ID:	2-s2.0-85165068820
PMID:	37458650
URI:	https://enauka.gov.rs/handle/123456789/824317
URL:	https://www.europeanreview.org/wp/wp-content/uploads/6332-6342.pdf
Izvor metapodataka:	(Preuzeto iz Nasi u WoS)
M-kategorija:	22M22 - Rad u istaknutom međ. časopisu

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