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A filter-predictor polynomial feature based machine learning approach to predicting preterm birth from cervical electrical impedance spectroscopy (2023)

First Author: Tian D

Attributed to: Assessing the Risk of Spontaneous Premature Birth by Electrical Impedance Spectroscopy of the Cervix. funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.bspc.2022.104345

Publication URI: http://dx.doi.org/10.1016/j.bspc.2022.104345

Type: Journal Article/Review

Parent Publication: Biomedical Signal Processing and Control