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PelumiOgunlusi/MaternalWatch-AI-Intelligent-Early-Warning-System-for-Maternal-Health-Risk-Detection-in-Nigeria

Domain:

healthcare

Record type:

project
Creator:
Pel
Host:
This repository is aimed at developing a digital platform for improving maternal health outcomes in Nigeria # MaternalWatch AI: Intelligent Early Warning System for Maternal Health Risk Detection in Nigeria ## Overview MaternalWatch AI is a digital health platform leveraging artificial intelligence and machine learning to provide real-time maternal health risk assessment and early warning capabilities for pregnant women in Nigeria. This project demonstrates the end-to-end process of building a predictive model for maternal health risk using real-world data, including data cleaning, exploratory analysis, feature engineering, model training, evaluation, interpretation, and deployment. --- ## Table of Contents - Problem Statement - Dataset - Project Structure - Installation - Project Walkthrough - 1. Data Inspection & Cleaning - 2. Exploratory Data Analysis (EDA) - 3. Feature Engineering & Encoding - 4. Data Balancing - 5. Model Training & Evaluation - 6. Model Comparison - 7. Model Interpretation - 8. Model Deployment - 9. Streamlit Web Application - Results & Insights - References --- ## Problem Statement Nigeria faces a severe maternal health crisis, with high maternal mortality rates due to inadequate healthcare infrastructure, limited access to skilled providers, and poor early detection of high-risk pregnancies. MaternalWatch AI aims to address these challenges by providing predictive analytics and real-time monitoring to enable timely interventions. --- ## Dataset - **Source:** Kaggle - Maternal Health Risk Data Set - **Features:** - Age - SystolicBP - DiastolicBP - BloodGlucose - BodyTemp - HeartRate - RiskLevel (target: low, mid, high risk) --- ## Project Structure - `MarternalWatchAI.qmd`: Main Quarto notebook containing all code, analysis, and documentation. - `data/Maternal Health Risk Data Set.csv`: Dataset file. - `extra_trees_model.pkl`: Saved trained model for deployment. --- ## Installation 1. **Clone the repository** ``` git clone github.com /MaternalWatch-AI-Intelligent-Early-Warning-System-for-Maternal-Health-Risk-Detection-in-Nig …