Scientists use machine learning to improve gut disease diagnosis

ScienceDaily | 6/17/2019 | Staff
ajoy26 (Posted by) Level 3
In places where sanitation, potable water and food are scarce, there are high rates of children suffering from environmental enteric dysfunction, a disease that limits the gut's ability to absorb essential nutrients and can lead to stunted growth, impaired brain development and even death.

The disease affects 20 percent of children under the age of 5 in low- and middle-income countries, such as Bangladesh, Zambia and Pakistan, but it also affects some children in rural Virginia.

Dr - Sana - Syed - Assistant - Professor

For Dr. Sana Syed, an assistant professor of pediatrics in the UVA School of Medicine, this project is an example of why she got into medicine. "You're talking about a disease that affects hundreds of thousands of children, and that is entirely preventable," she said.

Syed is working with Donald Brown, founding director of the UVA Data Science Institute and W.S. Calcott Professor in the Department of Engineering Systems and Environment, to incorporate machine learning into the diagnostic process for health officials combating this disease. Syed and Brown are using a deep learning approach called "convolutional...
(Excerpt) Read more at: ScienceDaily
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