Using natural language processing to determine predictors of healthy diet and physical activity behavior change in ovarian cancer survivors
Using natural language processing to determine predictors of healthy diet and physical activity behavior change in ovarian cancer survivors
Discipline
Oncology
Funder
National Institutes of Health (NIH)
Field
Medical, Health, & Life Sciences
Organization
University of Arizona
Source
Working Group on NIH DMSP Guidance
Location
United States
Description
This DMP will use longitudinal speech data of cancer survivors from another study to develop a Machine Learning model that can increase participant compliance with health lifestyle habits.
Date Created
2022
Keywords
cancer
machine learning
python
software development