Prediction of chromosomal abnormalities in the screening of the first trimester of pregnancy using machine learning methods: a study protocol
Abstract Background For women in the first trimester, amniocentesis or chorionic villus sampling is recommended for screening. Machine learning has shown increased accuracy over time and finds numerous applications in enhancing decision-making, patient care, and service quality in nursing and midwif...
Saved in:
Main Authors: | Mahla Shaban (Author), Sanaz Mollazadeh (Author), Saeid Eslami (Author), Fatemeh Tara (Author), Samaneh Sharif (Author), Fatemeh Erfanian Arghavanian (Author) |
---|---|
Format: | Book |
Published: |
BMC,
2024-07-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Designing, validation and evaluation of the expert system of "Healthy Menopause" and assessing its effect on the management of menopause symptoms: an exploratory mixed method study protocol
by: Nahid Marvi, et al.
Published: (2024) -
Chromosomal abnormalities in couples with recurrent first trimester abortions
by: Rozana Oliveira Gonçalves, et al.
Published: (2014) -
Rare chromosomal abnormalities: Can they be identified using conventional first trimester combined screening methods?
by: Daniel Kane, et al.
Published: (2021) -
Rastreio para anomalias cromossômicas no primeiro trimestre da gestação First-trimester screening for chromosomal abnormalities
by: Kipros Herodotou Nicolaides, et al.
Published: (2007) -
A cytogenetic study of chromosomal abnormalities in first trimester abortions in different maternal age groups
by: Shahin Kazi, et al.
Published: (2017)