A Secondary Analysis of the LIvES Study (GOG 0225) using Natural Language Processing (NLP) and Machine Learning

This is a secondary analysis of telephone coaching recordings from the Lifestyle Intervention for oVarian Cancer Enhanced Survival (LIvES) Study, GOG 0225, using natural language processing and machine learning to automate coaching protocol fidelity and use sentiment analysis to better predict behavior change outcomes.

• Sponsor: NRG Oncology/GOG 0225

• PI/MPI: Tracy Crane, PhD, RDN (MPI) and Steven Bethard, PhD (MPI)

• Institution(s): University of Miami and University of Arizona

• NCT#: NCT00719303

• Recruiting Status: N/A