First Trimester Noninvasive Prenatal Diagnosis: A Computational Intelligence Approach
Date
2016ISSN
2168-2194Source
IEEE Journal of Biomedical and Health InformaticsVolume
20Issue
5Pages
1427-1438Google Scholar check
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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 database1 1The dataset can become available for academic purposes by communicating directly with the authors. © 2013 IEEE.