Prediction of chromosomal abnormalities in the screening of the first trimester of pregnancy using machine learning methods: a study protocol

• Main Authors: Mahla Shaban (Author), Sanaz Mollazadeh (Author), Saeid Eslami (Author), Fatemeh Tara (Author), Samaneh Sharif (Author), Fatemeh Erfanian Arghavanian (Author)
• 格式: 圖書
• 出版: BMC, 2024-07-01T00:00:00Z.
• 主題: article
• 在線閱讀: Connect to this object online.

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...