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Electrical Impedance Spectroscopy Based Preterm Birth Prediction with Machine Learning

First Author: Wang M

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

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-031-67278-1_7

Publication URI: http://dx.doi.org/10.1007/978-3-031-67278-1_7

Type: Book Chapter

Book Title: Artificial Intelligence in Healthcare - First International Conference, AIiH 2024, Swansea, UK, September 4-6, 2024, Proceedings, Part I (2024)

Page Reference: 85-97