Patient-centered and experience-aware mining for effective adverse drug reaction discovery in online health forums

Yunzhong Liu, Jinhe Shi, Yi Chen

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)215-228
Number of pages14
JournalJournal of the Association for Information Science and Technology
Volume69
Issue number2
DOIs
StatePublished - Feb 1 2018

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management
  • Library and Information Sciences

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