This article gives a summary about the cardiotocography dataset and how to do an simple EDA on it. The full R-script is provided at the end of the article. Please leave me a comment if you have any…
Artificial Intelligence and Machine Learning in Electronic Fetal Monitoring
Fetal Heart Rate Monitoring – Principles and Intepretation of Cardiotocography : WFSA - Resources
Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records, BMC Medical Informatics and Decision Making
PDF) Classification of Fetal State from the Cardiotocogram Recordings using ANN and Simple Logistic
Frontiers A deep feature fusion network for fetal state assessment
A systematic review of automated pre-processing, feature extraction and classification of cardiotocography [PeerJ]
Classification of Fetal State through the application of Machine Learning techniques on Cardiotocography records: Towards Real World Application
PDF) Automatic detection of fetal health status from cardiotocography data using machine learning algorithms
Cardiotocography Data Set - Fetal state classification — Part 1: Data Summary and EDA, by Phuong Del Rosario