This episode is one of a special series recorded during the 2019 INFORMS Annual Meeting in Seattle. Joining me for this episode is Maryam Zokaei Nikoo from Pennsylvania State University to discuss research she shared at this year’s Annual Meeting. Her presentation, “Using Artificial Intelligence and Natural Language Processing to Predict Alzheimer’s Disease,” is based on research to improve early detection of Alzheimer’s, a disease currently impacting 5.8 million Americans and the 6th leading cause of death in the U.S. Want to take a deeper dive? Check out the brief introduction of the research referenced in this podcast below for…
Tags: Alzheimer's disease, interpretable prediction models, natural language processing
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