Shen Aifang

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
In modeling of fetal macrosomia, some inconsistent data are mixed in samples. Because the procedure of childbearing has been finished, the sample data can not be validated by visiting previous pregnant woman. In order to eliminate the inaccurate samples, a counter propagation neural network is established. Some traditional methods are also used to verify(More)
Fetal macrosomia not only produces a great risk in delivery both to the mother and the fetus, but also has a bad influence to the future of the child. Prediction of fetal macrosomia has an important clinical meaning. In this paper, a new model of estimating fetal macrosomia is proposed. The aim of the model is to predict the fetal macrosomia, not the fetal(More)
  • 1