Risk prediction model based on machine learning for predicting miscarriage among pregnant patients with immune abnormalities
Introduction: It is known that patients with immune-abnormal co-pregnancies are at a higher risk of adverse pregnancy outcomes. Traditional pregnancy risk management systems have poor prediction abilities for adverse pregnancy outcomes in such patients, with many limitations in clinical application....
Main Authors: | Yue Wu, Xixuan Yu, Mengting Li, Jing Zhu, Jun Yue, Yan Wang, Yicun Man, Chao Zhou, Rongsheng Tong, Xingwei Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-04-01
|
Series: | Frontiers in Pharmacology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fphar.2024.1366529/full |
Similar Items
-
THE INCIDENCE OF ULTRASOUND DIAGNOSED UTERINE ABNORMALITIES RELATED TO MISCARRIAGE RATES – A LOCAL AUDIT
by: Alyaa M. Raheem, et al.
Published: (2019-09-01) -
Risk of abnormal pregnancy outcomes after using ondansetron during pregnancy: A systematic review and meta-analysis
by: Xiao Cao, et al.
Published: (2022-09-01) -
Placental insufficiency and threatened miscarriage: a modern view on the problem
by: S M Voevodin, et al.
Published: (2017-08-01) -
Prevalence of Abnormal Papanicolaou Smear in Pregnant Women at Phramongkutklao Hospital
by: Nantaka Ngaojaruwong, et al.
Published: (2008-09-01) -
Adverse Pregnancy Outcomes and Associated Factors in Rural
Pregnant Women in Sari, Iran 2016
by: Seyed Abolhassan Naghibi, et al.
Published: (2018-01-01)