QR Kod

Prediction Model of Late Fetal Growth Restriction with Machine Learning Algorithms

Background: This study aimed to develop a clinical model to predict late-onset fetal growth restriction (FGR). Methods: This retrospective study included seven hospitals and was conducted between January 2009 and December 2020. Two sets of variables from the first trimester until 13 weeks (E1) and t...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Asıl Yazarlar: Seon Ui Lee, Sae Kyung Choi, Yun Sung Jo, Jeong Ha Wie, Jae Eun Shin, Yeon Hee Kim, Kicheol Kil, Hyun Sun Ko
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2024-11-01
Seri Bilgileri:Life
Konular:
Online Erişim:https://www.mdpi.com/2075-1729/14/11/1521
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!