Akenji/malaria_prediction

this project uses generated data to be able to predict malaria outbreaks in Cameroon ## Malaria Outbreak Prediction Model A machine learning system that predicts malaria outbreaks using environmental, healthcare, and socioeconomic factors through Random Forest classification. ## Project Structure ```MALARIA/ ├── venv/ ├── .coverage ├── cleaning.py ├── confusion_matrix.png ├── coverage.xml ├── dim_dates.csv ├── dim_demographics.csv ├── dim_environment.csv ├── dim_health_initiatives.csv ├── dim_healthcare.csv ├── dim_infrastructure.csv ├── dim_location.csv ├── dim_prevention.csv ├── dim_socioeconomic.csv ├── dim_weather.csv ├── fact_malaria_cases.csv ├── feature_importance.csv ├── feature_importance.png ├── loading.py ├── model.py ├── processed_data.csv └── test_malaria_db.py ``` ## Overview ```This project implements a predictive model for malaria outbreak detection using machine learning techniques. The system analyzes multiple dimensions of data including: Environmental factors Demographic information Healthcare accessibility Infrastructure data Prevention measures Socioeconomic indicators Weather patterns ``` ## Data Sources ```The project uses a dimensional data model with the following key files: Fact Table: fact_malaria_cases.csv - Contains the main malaria case records Dimension Tables: dim_dates.csv - Temporal dimensions dim_demographics.csv - Population demographics dim_environment.csv - Environmental factors dim_health_initiatives.csv - Health programs and initiatives dim_healthcare.csv - Healthcare facility information dim_infrastructure.csv - Infrastructure availability dim_location.csv - Geographical information dim_prevention.csv - Malaria prevention measures dim_socioeconomic.csv - Socioeconomic indicators dim_weather.csv - Weather-related data ``` ## Key Components ```Data Processing cleaning.py: Handles data cleaning and preprocessing loading.py: Manages data loading and ETL processes Model model.py: Contains the Random Forest implementation test_malaria_db.py: Test suite for database operations ``` ## Installation ```import the sql …