The value of prevention
Led by USC experts, the collaborative team is in the process of building a tool that allows Amref, other humanitarian organizations, and policymakers to directly access the predictive model and understand diverse data sources. When combined with other publicly available sources like satellite imagery, one of Microsoft’s key capabilities, data from the Kenyan Ministry of Health can be used to understand the severity of malnutrition in children across Kenya. The model is trained on data that’s being collected in more than 100 countries, and the team hopes it can be adapted to address malnutrition and other health concerns around the world.
“This work is not only helping mitigate malnutrition risks among children in Kenya, but also preparing us to help tackle this problem globally,” says Dr. Bistra Dilkina, co-director of the USC Center for AI in Society, and associate professor of computer science.
More accurate information and predictions will enable Amref and others to position resources to prevent malnutrition.
“The dashboard will change the way partners intervene, enabling them to do evidence-based and timely interventions,” says Dr. Girmaw Abede Tadesse, Principal Research Science Manager, Microsoft AI for Good Lab.
The mission of the Kenyan Ministry of Health is to have a globally competitive, healthy and productive nation so they can grow economically. The model helps achieve this by organizing resources around planning and budgeting. Malnutrition can be better solved with AI through prediction in the monitoring and evaluation process, which helps conserve resources. The food and nutrition dashboard has the potential to save lives, improve lives, and enhance the quality of life.
TRANSFORM is Amref’s new 2023-2030 global strategy that champions and supports the people of Africa to have quality and accessible health services. Amref is achieving this through community-led, people-centered primary health systems that address social determinants of health. The new predictive model will help them achieve their goals by showing the risk profiles of malnutrition across different groups, giving them the flexibility to identify hotspots and intervene at the right time.
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