Artificial intelligence in prenatal diagnosis: Down syndrome risk assessment with the power of gradient boosting-based machine learning algorithms/Prenatal tanida yapay zeka: Gradient boosting tabanli makine ogrenmesi algortimalarinin gucu ile Down sendromu risk degerlendirmesi

Objective: One of the most common chromosomal abnormalities seen during pregnancy is Down syndrome (Trisomy 21). To determine the risk of Down syndrome, first-trimester combined screening tests are essential. Using data from the first-trimester screening test, this study compares machine learning an...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Turkish journal of obstetrics and gynecology Jg. 22; H. 2; S. 121
Hauptverfasser: Yalcin, Emre, Koc, Tarik Kaan, Aslan, Serpil, Demir, Suleyman Cansun, Evruke, Ismail Cuneyt, Sucu, Mete, Avan, Mesut, Uzay, Fatma Islek
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Galenos Yayinevi Tic. Ltd 01.06.2025
Schlagworte:
ISSN:2149-9322
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!