A systematic literature review of machine learning in online personal health data.
Journal:
Journal of the American Medical Informatics Association : JAMIA
Published Date:
Jun 1, 2019
Abstract
OBJECTIVE: User-generated content (UGC) in online environments provides opportunities to learn an individual's health status outside of clinical settings. However, the nature of UGC brings challenges in both data collecting and processing. The purpose of this study is to systematically review the effectiveness of applying machine learning (ML) methodologies to UGC for personal health investigations.