Adjeroh discusses future of AI and data science in health
Story by Hannah Morgan, Graduate Assistant
Benjamin M. Statler College of Engineering and Mineral Resources
The workshop discussed artificial intelligence methods that can help with addressing problems in smart health. One such problem is drug safety, which can be addressed using novelty detection. According to Adjeroh, novelty detection is a technique that can be used to detect fraud in financial transactions, intrusion in cybersecurity and to detect drug adverse events.
“With our focus on digital health, in the long run, developing appropriate solutions to these problems will lead to improved medical decision making by healthcare professionals, improved health and lower healthcare costs for segments of the general population,” Adjeroh, of the Lane Department of Computer Science and Electrical Engineering, said.
The workshop was organized by researchers at universities in West Virginia and Arkansas, along with various collaborators.
The workshop provided a medium where people from all over the world could come together to learn more about problems of AI in smart health, contribute to potential solutions, while appreciating the work of researchers in West Virginia and Arkansas on these problems, Adjeroh explained.
Contact: Paige Nesbit
Statler College of Engineering and Mineral Resources
304.293.4135, Paige Nesbit
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