Zhong Huang (Sociology) and Nishant Iyengar (Biomedical Engineering) spent ten weeks investigating the clinical profiles of rare metabolic diseases. Working with a large dataset provided by the Duke University Health System, the team used natural language processing techniques and produced an R Shiny visualization that enables clinicians to interactively explore diagnosis clusters.
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Disciplines Involved: PreHealth/PreMed, Biology, BME, Biostatistics, all quantitative STEM
Project Lead: Rachel Richesson
Project Manager: Zach White
