Adverse Drug Reactions Detection from Social Media: an Empirical Evaluation of Machine Learning Techniques
Oumayma Elbiach,
Hanane Grissette,
El Habib Nfaoui
Abstract:This research addresses the critical concern of Adverse Drug Reactions (ADRs), emphasizing the need for their timely detection to safeguard patient well-being. Detecting ADRs within sentences is pivotal for effective public health monitoring. The study's primary objective is to assess whether sentences contain ADR references, a crucial step in identifying potential ADRs early. Timely recognition can mitigate patient harm and enhance drug development processes. The rise of patient engagement on social media has… Show more
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