Patient-Centered and Experience-Aware Mining for Effective Information Discovery in Health Forums
|Abstract||Online health forums provide a convenient channel for patients, caregivers, and medical professionals to share their experience, support and encourage each other, and form health communities. The fast growing content in health forums provides a large repository for people to seek valuable information. A forum user can issue a keyword query to search health forums regarding to some specific questions, e.g., what treatments are effective for a disease symptom? A medical researcher can discover medical knowledge in a timely and large-scale fashion by automatically aggregating the latest evidences emerging in health forums.
This dissertation studies how to effectively discover information in health forums. Several challenges have been identifi... (more)
|Contributor||Liu, Yunzhong (Author) / Chen, Yi (Advisor) / Liu, Huan (Advisor) / Li, Baoxin (Committee member) / Davulcu, Hasan (Committee member) / Arizona State University (Publisher)|
|Subject||Computer science / Data Mining / Knowledge Discovery / Machine Learning|
|Note||Doctoral Dissertation Computer Science 2016|
|Collaborating Institutions||Graduate College / ASU Library|
|Additional Formats||MODS / OAI Dublin Core / RIS|