Synthetic Blood Flow Data Generation

Description

This project aims to generate synthetic data related to blood flow, considering physiological and pathological conditions. A simulation based on biomedical parameters is used to create a dataset that includes information about vessel diameter, pressure, blood viscosity, hematocrit, and other relevant factors.

Features

• Generation of synthetic blood flow data.
• Visualization of distributions and correlations between variables using graphs.
• Statistical analysis of the generated data.

Requirements

Make sure to have the following dependencies installed to run this project:

• numpy
• pandas
• scikit-learn
• matplotlib
• seaborn

Installation

You can install the necessary dependencies using the requirements.txt file. Run the following command in your terminal:

pip install -r requirements.txt

python app.py


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