Patient-centered and experience-aware mining for effective adverse drug reaction discovery in online health forums
Document Type
Article
Publication Date
2-1-2018
Abstract
Adverse Drug Reactions (ADRs) have become a serious health problem and even a leading cause of death in the United States. Pre-marketing clinical trials and traditional post-marketing surveillance using voluntary and spontaneous report systems are insufficient for ADR detection. On the other hand, online health forums provide valuable evidences in a large scale and in a timely fashion through the active participation of patients, caregivers, and doctors. In this article, we present patient-centered and experience-aware mining framework for effective ADR discovery using online health forum data. Our experimental evaluation with both an official ADR knowledge base and human-annotated ground truth verifies the effectiveness of the proposed method for ADR discovery.
Identifier
85051214833 (Scopus)
Publication Title
Journal of the Association for Information Science and Technology
External Full Text Location
https://doi.org/10.1002/asi.23929
e-ISSN
23301643
ISSN
23301635
First Page
215
Last Page
228
Issue
2
Volume
69
Grant
1322406
Fund Ref
National Science Foundation
Recommended Citation
Liu, Yunzhong; Shi, Jinhe; and Chen, Yi, "Patient-centered and experience-aware mining for effective adverse drug reaction discovery in online health forums" (2018). Faculty Publications. 8871.
https://digitalcommons.njit.edu/fac_pubs/8871
