Two-stage approach for risk estimation of fetal trisomy 21 and other aneuploidies using computational intelligence systems

Objective To estimate the risk of fetal trisomy 21 (T21) and other chromosomal abnormalities (OCA) at 11–13 weeks' gestation using computational intelligence classification methods. Methods As a first step, a training dataset consisting of 72 054 euploid pregnancies, 295 cases of T21 and 305 cases of OCA was used to train an artificial neural network. Then, a two‐stage approach was used for stratification of risk and diagnosis of cases of...