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Maternal Health Risk

Description

This project analyzes maternal health risk data to explore relationships between various health metrics and risk levels.

Data Context

Data has been collected from different hospitals, community clinics, maternal health cares through the IoT based risk monitoring system.

  • Age: Age in years when a woman is pregnant.
  • SystolicBP: Upper value of Blood Pressure in mmHg, another significant attribute during pregnancy.
  • DiastolicBP: Lower value of Blood Pressure in mmHg, another significant attribute during pregnancy.
  • BS: Blood glucose levels is in terms of a molar concentration, mmol/L.
  • HeartRate: A normal resting heart rate in beats per minute.
  • Risk Level: Predicted Risk Intensity Level during pregnancy considering the previous attribute.

Built With

  • Python 3+
  • VS Code

Dependencies

  • pandas
  • matplotlib
  • seaborn

Setup

Clone the repository

git clone https://github.com/Lembani/maternal_health_risk.git
cd maternal_health_risk

Install dependencies

pip install -r requirements.txt

Data

Make sure to place your dataset in the data/ directory or use the provided data/maternal_health_risk_data.csv file.

Usage

python run_analysis.py

Output

Risk Level Distribution

Correlation Heatmap

Download Report PDF

Author

Acknowledgements

License

This project is licensed under the MIT License.