First Trimester Noninvasive Prenatal Diagnosis: A Computational Intelligence Approach.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 26241982.
- Also identified by DOI 10.1109/JBHI.2015.2462744.
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Abstract
The objective of this study is to examine the potential value of using machine learning techniques such as artificial neural network (ANN) schemes for the noninvasive estimation, at 11-13 weeks of gestation, the risk for euploidy, trisomy 21 (T21), and other chromosomal aneuploidies (O.C.A.), from suitable sonographic, biochemical markers, and other relevant data. A database(1) (1)The dataset can become available for academic purposes by communicating directly with the authors.
Medical subject headings
- Artificial Intelligence
- Chromosome Disorders
- Computational Biology
- Pregnancy Trimester, First
- Prenatal Diagnosis