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eNauka >  Results >  Ultrasound Assessment of Cervical Status Compared to the Bishop Score-predicting the Success of Labor Induction Using a Machine Learning-based Model
Title: Ultrasound Assessment of Cervical Status Compared to the Bishop Score-predicting the Success of Labor Induction Using a Machine Learning-based Model
Authors: Krsman, Anita ; Grujić, Zorica  ; Čapko, Darko  ; Dragutinović, Đorđe  ; Baturan, Branislava  ; Nikolić, Aleksandra  ; Antić-Trifunović, K; Dickov, Isidora
Issue Date: 2023
Publication: European review for medical and pharmacological sciences
ISSN: 1128-3602 European Review for Medical and Pharmacological Sciences Search Idenfier
Publisher: Rome : Verduci
Type: Article
Collation: 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
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
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