FehintoluSamuel/Ischemic-heart-disease-

This project explores ischemic heart disease trends in Nigeria using data visualizations and machine learning to uncover insights into mortality, healthcare access, and spending. --- # 🫀 Ischemic Heart Disease Analysis & Dashboard – Nigeria --- ## 📊 Overview This project presents a **comprehensive data-driven analysis** of **Ischemic Heart Disease (IHD)** in Nigeria, focusing on trends, demographics, healthcare infrastructure, and expenditure. It includes: * A **Streamlit-powered interactive dashboard** for real-time exploration 📈 * A **classification model** to predict heart disease risk using machine learning 🔍 > Built with Python, Pandas, Plotly, and scikit-learn. --- ## 🚀 Features ### 📉 Exploratory Data Analysis * 📆 **Yearly Trends** in IHD deaths (by gender & age group) * ⚰️ **Top Causes of Death** comparison to IHD * 🏥 **Doctor-to-Patient Ratio** tracking over time * 💰 **Health Expenditure per Capita** visualization ### 🧠 Classification Modeling * Logistic Regression, Random Forest, and Decision Tree models evaluated * Key metrics: **Accuracy, Precision, Recall, F1 Score, Log Loss** * Decision Tree emerged as the best performer with **\~82% accuracy** ### 🖥️ Interactive Dashboard (Streamlit) * Real-time bar, pie, and line charts * Responsive layout for seamless exploration * Clean, minimal design with actionable insights --- ## 🖼️ Dashboard Preview > --- ## 🗂️ Project Structure ``` Ischemic-heart-disease-/ ├── analysis/ │ ├── dashboard.py # Streamlit app source │ ├── IHD_analysis.ipynb # Jupyter notebook (EDA + ML models) │ ├── cleaned_data/ # Cleaned datasets │ └── rough_data/ # Raw or semi-clean datasets │ └── IHD_dashboard.jpeg ├── requirements.txt # Project dependencies ├── README.md # This file └── LICENSE ``` --- ## ⚙️ Getting Started ### ✅ Prerequisites * Python 3.8+ * pip (Python package manager) ### 💻 Installation ```bash git clone github.com cd Ischemic-heart-disease- pip install -r requirements.txt ``` ### 🚀 Run the Dashboard ```bash streamlit run /analysis/dash …