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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)
Created Date 2016
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
Type Doctoral Dissertation
Extent 103 pages
Language English
Note Doctoral Dissertation Computer Science 2016
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis