Artificial intelligence in prenatal diagnosis: Down syndrome risk assessment with the power of gradient boosting-based machine learning algorithms.
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 and...
| Publicado en: | Turkish Journal of Obstetrics & Gynecology Vol. 22; no. 2; pp. 1 - 9 |
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| Autores principales: | , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Galenos Yayinevi Tic. LTD. STI
Jun2025
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| Acceso en línea: | Ver este registro en EBSCOhost |