Results
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: | 21M21 - Vodeći međunarodni časopis kategorije M21 |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.