Nonlinear Logistic Regression Analysis of Electrical Impedance Spectroscopy Data Improves the Accuracy of Prediction of Preterm Birth. (2018)

First Author: Zhang S.

Attributed to: Application of Novel Nonlinear Data Modelling and Analysis to the Study of Cervical Impedance Spectroscopy for Preterm Birth Prediction funded by EPSRC

No abstract provided

Type: Conference/Paper/Proceeding/Abstract

Volume: 25

Parent Publication: REPRODUCTIVE SCIENCES

ISSN: 1933-7191