Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review.

ABSTRACT:

Introduction

Artificial intelligence based on machine learning has made large advancements in many fields of science and medicine but its impact on pharmacovigilance is yet unclear.

Objective

The present study conducted a scoping review of the use of artificial intelligence based on machine learning to understand how it is used for pharmacovigilance tasks, characterize differences with other fields, and identify opportunities to improve pharmacovigilance through the use of machine learning.

Design

The PubMed, Embase, Web of Science, and IEEE Xplore databases were searched to identify articles pertaining to the use of machine learning in pharmacovigilance published from the year 2000 to September 2021. After manual screening of 7744 abstracts, a total of 393 papers met

SUBMITTER: Kompa B 

PROVIDER: S-EPMC9883349 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature