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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…
Cardiotocography - Wikipedia
Phuong Del Rosario – Medium
A Cardiotocographic Classification using Feature Selection: A comparative Study
Impact of Classification Algorithms on Cardiotocography Dataset for Fetal State Prediction
Integrating machine learning techniques and physiology based heart r
Frontiers DeepCTG® 1.0: an interpretable model to detect fetal hypoxia from cardiotocography data during labor and delivery
storage.googleapis.com/kaggle-datasets-images/9165
Random Forests — outline algorithmic principles, and detailed
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Cardiotocography Analysis for Fetal State Classification Using Machine Learning Algorithms
Machine Learning Model for Classifying the Results of Fetal Cardiotocography Conducted in High-Risk Pregnancies
Principal Component Analysis (PCA) on a Dataset — Cardiotocography
Intrapartum cardiotocography trace pattern pre-processing, features extraction and fetal health condition diagnoses based on RCOG guideline [PeerJ]
Identifying fetal status with fetal heart rate: Deep learning approach based on long convolution - ScienceDirect
