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