Data mining methods, tasks, and algorithms for adverse drug reaction analysis in pharmacovigilance: A scoping review

Ana Carolina Jacoby

doi:10.1016/j.ijmedinf.2026.106554

Data mining methods, tasks, and algorithms for adverse drug reaction analysis in pharmacovigilance: A scoping review

2026-06-21

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AI

A

Ana Carolina Jacoby

M

Mell Amisa Matsuda

C

Carine Raquel Blatt

S

Sílvio César Cazella *

DOI：10.1016/j.ijmedinf.2026.106554

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Abstract

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• Data mining dominates pharmacovigilance signal detection. • Machine learning is used in only 12.3% of studies. • Signal detection is the most frequent analytical task. • FAERS is the primary data source in pharmacovigilance studies.

Data mining methods, tasks, and algorithms for adverse drug reaction analysis in pharmacovigilance: A scoping review

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