Researchers Predict Acute Kidney Injury Through Developing AI/ML Model

Sunday, July 14, 2019 - 12:17

Researchers have developed an Artificial Intelligence / Machine Learning (AI/ML) model that can predict acute kidney injury quicker and more accurately than ever.

According to an ICA report, American researchers from University of California - Davis Health, in cooperation with an Iranian scientist developed Artificial Intelligence / Machine Learning model which is able to predict acute kidney injury more accurately.

Acute kidney injury (AKI) is sudden kidney failure or damage causing a build-up of waste in blood and a fluid imbalance in the body. AKI usually happens within the first week of serious burn due to inadequate resuscitation, especially during the critical first 24 hours, EurekAlert reports.

"We built a powerful ML model through our k-Nearest Neighbor approach that is able to accurately predict AKI in our patient population in a much shorter period," said Hooman Rashidi, professor in the Department of Pathology and Laboratory Medicine at UC Davis Health. "Based on admission data, the model can shorten the time to diagnosis by as much as two days."

This model can be applied in military casualties. Because troops might be sent to hospitals that lack the facilities to manage kidney injury, the AI/ML method could identify patients with AKI more quickly so they can be diverted faster to advanced medical facilities.


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