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https://github.com/osama24680/stroke-prediction-alx-ais3-s1e

Stroke Prediction
https://github.com/osama24680/stroke-prediction-alx-ais3-s1e

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Stroke Prediction

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README

        

# 🩺 Stroke Prediction Notebook 🚀

Welcome to our notebook on the **Prediction of Strokes**! This project aims to analyze and predict the risk of stroke occurrences using machine learning, aiding in early diagnosis and preventive healthcare measures. Stroke, a serious medical condition, is among the leading causes of death globally, accounting for approximately 11% of total deaths worldwide according to the **World Health Organization (WHO)**.

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## 🌟 Project Description

Stroke can have life-altering consequences. Early detection of potential stroke cases is critical for timely intervention and improved health outcomes. Using a dataset with various health and lifestyle parameters, we employ machine learning models to predict the likelihood of a stroke occurrence. Features analyzed include:
- **Patient Demographics:** Gender, age, smoking status
- **Health Conditions:** Diabetes, hypertension, heart conditions
- **Lifestyle Factors:** Physical activity, smoking status

Join us as we uncover insights from this data and contribute to stroke prevention and awareness efforts. 💊💡

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## 👥 Team Members

| Team Member | Role | GitHub Profile |
| ---------------- | ----------------------- | ---------------------------------------- |
| **Kareem Abdelfattah Mostafa** | Data Analysis | [GitHub Profile](https://github.com/Kareemelsalhy) |
| **Mayar Magdy Morkos** | Data Analysis | [GitHub Profile](https://github.com/M297M) |
| **Osama Mohamed Megahed** |Data Preprocessing | [GitHub Profile](https://github.com/osama24680) |
| **Ahmed Hesham Moahmed** | Machine Learning | [GitHub Profile](https://github.com/Ahmedhesham2232) |
| **Ebrahem Ragab Moahmed** | Deep Learning | [GitHub Profile](https://github.com/Ebraheem-zydan) |

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## 🎨 Features & Visualizations

### Key Features
- **Data Analysis and Visualization:** Comprehensive visualizations to understand the correlation between health parameters and stroke risks.
- **Preprocessing Pipeline:** Data cleaning, scaling, and transformation techniques for high-quality inputs.
- **Predictive Modeling:** Use of algorithms like logistic regression, decision trees, and neural networks for stroke risk prediction.
- **Interactive Dashboard (Future Scope):** A user-friendly interface for healthcare professionals to input patient data and view predictions.

### Visualizations
- **Correlation Heatmaps** to visualize relationships between features.
- **Distribution Plots** of high-risk factors by demographics.
- **ROC Curves & AUC Scores** for model performance.

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## 🚀 Getting Started

### Installation
**Clone the repository:**
```bash
git clone https://github.com/osama24680/Stroke-Prediction-ALX-AIS3-S1e