Samantha Garland (Computer Science), Grant Kim (Computer Science, Electrical & Computer Engineering), and Preethi Seshadri (Data Science) spent ten weeks exploring factors that influence patient choices when faced with intermediate-stage prostate cancer diagnoses. They used topic modeling in an analysis of a large collection of clinical appointment transcripts.
Executive Summary (PDF)
Disciplines Involved: Economics, PreHealth/PreMed, Biology, Biostatistics, all quantitative STEM
Project Leads: Peter Ubel, Marc Ryser, Ilona Fridman
Project Manager: Namita Lokare
