AI advances malaria prediction outcomes
AI in healthcare is advancing many areas of care and diagnosis, but it is also helping predict the clinical risk and severity of malaria.
Researchers from the EPSRC Centre for Mathematics of Precision Healthcare applied machine learning and model-based inference tools to detect patterns in clinical features association with severe malaria in a sample of nearly 3,000 Gambian children who were admitted to the hospital with malaria. Their findings were published in .
Their research was also featured in
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Anna Radomska
Dyson School of Design Engineering