Analyzing adverse drug reaction using statistical and machine learning methods: A systematic review.

ABSTRACT:

Background

Adverse drug reactions (ADRs) are unintended negative drug-induced responses. Determining the association between drugs and ADRs is crucial, and several methods have been proposed to demonstrate this association. This systematic review aimed to examine the analytical tools by considering original articles that utilized statistical and machine learning methods for detecting ADRs.

Methods

A systematic literature review was conducted based on articles published between 2015 and 2020. The keywords used were statistical, machine learning, and deep learning methods for detecting ADR signals. The study was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement (PRISMA) guidelines.

Results

We reviewed 72 articles, of

SUBMITTER: Kim HR 

PROVIDER: S-EPMC9276413 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature