Analyzing Maternal Health in Nigeria using Machine Learning

Challenge Background

Maternal health is a pressing concern in Nigeria, with an alarming rate of maternal mortalities. Currently, Nigeria has one of the highest maternal mortality rates in the world, with approximately 512 maternal mortalities per 100,000 births. This devastating figure underscores the urgent need for effective interventions to improve maternal health outcomes. Additionally, the impact of the COVID-19 pandemic has further exacerbated the challenges faced in maternal healthcare, severely impacting the healthcare system and exacerbating the already dire situation.

The Problem

The statistics paint a grim picture of maternal health in Nigeria. The latest World Health Organization (WHO) data reveals that Nigeria accounts for over 34% of global maternal deaths. The lifetime risk of a Nigerian woman dying during pregnancy, childbirth, postpartum, or after an abortion is an alarming one in 22, in stark contrast to the figure of one in 4,900 in developed countries. The situation is exacerbated by the lack of accessible medical facilities and healthcare resources in many rural communities across the 36 states of the country. Insufficient medical personnel and outdated infrastructure further hinder the provision of adequate care. Tragically, there have been instances of pregnant women losing their lives while travelling from their homes to distant medical facilities, highlighting the critical need for accessible and timely healthcare services.

Goal of the Project

The project goals are:

• Provide accurate risk prediction for maternal health complications based on advanced AI algorithms.
• Analyze the latest maternal health data to identify patterns, trends, and contributing factors.
• Generate evidence-based prevention recommendations for healthcare providers and policymakers.
• Develop a user-friendly web app to provide accessible risk assessments, data analysis, and prevention recommendations.
• Design an intuitive dashboard to visualize maternal health indicators and insights, enabling effective decision-making.
• Contribute to improving overall maternal health outcomes in Nigeria by facilitating targeted interventions and enhancing the accessibility of valuable insights.

Project Timeline

What you'll learn

1. Develop proficiency in utilizing advanced AI techniques for risk prediction in maternal health. 2. Gain skills in analyzing and interpreting complex and up-to-date maternal health data. 3. Design and implement evidence-based prevention strategies leveraging AI-driven insights. 4. Acquire web app development skills to create a user-friendly and accessible interface for maternal health information. 5. Enhance data visualization abilities through the design and implementation of an intuitive and informative dashboard. 6. Apply design thinking principles to develop a high-impact solution that addresses the challenges faced in maternal health.