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

Yunzhong Liu, Jinhe Shi and Yi Chen

Journal of the Association for Information Science & Technology, 2018, vol. 69, issue 2, 215-228

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.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jinfst:v:69:y:2018:i:2:p:215-228

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