A machine learning pipeline to classify foetal heart rate deceleration with optimal feature set

A machine learning pipeline to classify foetal heart rate deceleration with optimal feature set

Abstract Deceleration is considered a commonly practised means to assess Foetal Heart Rate (FHR) through visual inspection and interpretation of patterns in Cardiotocography (CTG). The precision of deceleration classification relies on the accurate estimation of corresponding event points (EP) from...

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Bibliographic Details
Main Authors: Sahana Das, Sk Md Obaidullah, Mufti Mahmud, M. Shamim Kaiser, Kaushik Roy, Chanchal Kumar Saha, Kaushik Goswami
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-27707-z

Internet

https://doi.org/10.1038/s41598-023-27707-z

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