Analyzing Maternal Health in Nigeria using Machine Learning

This Omdena Local Chapter Challenge runs for 6 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by Kano, Nigeria Chapter.

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 Insufficient medical personnel and outdated infrastructure further hinder the provision of adequate care.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.

The goals

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.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work