Young Ji Lee

I have not only a background in health informatics, but also specific training and expertise in big data analysis using various methods including network analysis, text mining, and traditional statistical approaches. My research involves structuring and delivering health information through the Internet to diverse groups—especially minority populations. Currently, I am the PI for NIH-funded study, to build and implement a personalized information access system for ovarian cancer patients with a hybrid recommender engine that adapts to different patient needs: HELPeR—Health E-Librarian with Personalized Recommendations (R01LM013038). This study will be the first study to guide cancer patients’ decision-making and self-management activities by providing a navigational support to locate appropriate information on the Internet. Moreover, I have led a pilot study that embeds infographics in the P2aTH project (PCORI CDRN-1306-04912) to develop and validate patient-centered infographics with vulnerable population to support the decision making of patients between therapeutic options. My current project is to apply network analysis to social media data to understand patterns of symptom cluster and unmet needs among ovarian cancer survivors.