Complex Decisions, Real Numbers

Complex Decisions, Real Numbers: Medical Decision-Making


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 UbelMarc Ryser, Ilona Fridman
Project Manager: Namita Lokare



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