Fetal Distress Detection

This repository contains the file related to my final year bachelor's project. The project focuses on analyzing the CTU-CHB Intrapartum Cardiotocography (CTG) dataset for predictive modeling.

Content

1. Fetal_Distress_Detection.ipynb

• Description: Jupyter Notebook that contains all the source code for the project. This includes data preprocessing, analysis, and model implementation.

2. ctu-chb-intrapartum-cardiotocography-database-1.0.0

• Description: This contains the link to full PhysioNet CTU-CHB Intrapartum Cardiotocography (CTG) dataset which is used for this project. The dataset consists of CTG signals used to predict intrapartum fetal conditions.

Requirements

• Python 3.x
• Jupyter Notebook
• Required libraries: numpy, pandas, matplotlib, scikit-learn, tensorflow, etc.