Explainable AI dashboard for Maternal Health Vulnerability Index (MHVI) using Ghana DHS data
# Maternal Health Vulnerability Index (MHVI) — Ghana
> **Where does a Ghanaian woman stand the best chance of surviving motherhood?**
>
> This project answers that question with data.
The MHVI is a machine learning-powered vulnerability index that scores and maps maternal health risk across all 16 regions of Ghana using the 2022 Demographic and Health Survey. It combines 16 indicators across 5 health domains into a single interpretable score — then uses SHAP explainability to show exactly *why* each region scores the way it does.
Built by a nursing graduate who has worked in maternal health settings in Ghana and believes data should directly improve outcomes for women.
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## The Problem
Ghana has made measurable progress on maternal health. But national averages hide a deeper regional inequality: the difference between Upper East and Ahafo is not minor — it is structural.
Without precise measurement, policy remains generic and resources are misallocated.
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## Live Dashboard
**👉 View the MHVI Dashboard**
No login required — open, select a region, and explore maternal vulnerability across Ghana.
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## Key Findings
| Metric | Value |
|---|---|
| 🇬🇭 National Average MHVI | **0.404** |
| 🔴 Highest Vulnerability | **Upper East — 0.86** |
| 🟢 Lowest Vulnerability | **Ahafo — 0.18** |
| High-Risk Regions | **4** |
| Low-Risk Regions | **5** |
The difference between the highest and lowest regions is **0.68 index points** — reflecting a severe structural inequality gap, not a smooth distribution.
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## Dashboard Sections
| Section | Function |
|---|---|
| KPI Cards | National overview — average MHVI, risk counts, and extremes |
| Regional Deep Dive | Region-specific indicators with contextual interpretation |
| National Comparison | Side-by-side ranking of all 16 regions |
| Choropleth Map | Geographic visualisation of vulnerability across Ghana |
| Ranking Table | Full sortable MHVI table |
| SHAP Global Importance | Key drivers of maternal vulnerabili …