Cardiotocography Data Set - Fetal state classification — Part 1

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…

Impact of Classification Algorithms on Cardiotocography Dataset for Fetal State Prediction

Annotation dataset of the cardiotocographic recordings constituting the “CTU-CHB intra-partum CTG database” - ScienceDirect

Fetal state classification from cardiotocography based on feature extraction using hybrid K-Means and support vector machine

Diagnostics, Free Full-Text

Random Forests — outline algorithmic principles, and detailed

Machine Learning Model for Classifying the Results of Fetal Cardiotocography Conducted in High-Risk Pregnancies

Appendix A Characteristics of Fetal Heart Rate Patterns

Cardiotocography Data Set - Fetal state classification — Part 1: Data Summary and EDA, by Phuong Del Rosario

Rule-Based Algorithm for Intrapartum Cardiotocograph Pattern Feat

Classification of Fetal State through the application of Machine Learning techniques on Cardiotocography records: Towards Real World Application

Exploring Fetal Health Status Using an Association Based Classification Approach

Diagnostics, Free Full-Text