Project to save innocent infant lives using Cardiotocography and CNN image classification
The CTGViewer: display cardiotocography (CTG) records -- fetal heart rate and uterine contractions.
multivariate CTG dataset of 2126 pregnant women obtained from University of California Irvine Machine Learning Repository
The repository includes thesis classifier(s) for cardiotocography data.
This project contains code for creating, training, and testing a multilayer perceptron (MLP) neural network designed to classify an infant’s condition based on cardiotocography (CTG) data.
AI-powered classification of CTG signals for early fetal-distress detection in low-resource clinics
Final project for Statistical Learning (MSDS 534) at Rutgers University.
Practical exercise developed in the course "Culture and Practices of DataOps and MLOps".
To associate your repository with the cardiotocography topic, visit your repo's landing page and select "manage topics."